mirror of https://github.com/qdrant/qdrant.git synced 2026-07-28 13:41:08 -05:00

Files

eltu aa0f49798e Full-Text Index ASCII Folding (Normalization) (#7408 )

* Add ASCII folding to tokenization process

Introduced an optional ASCII folding feature within the `TokensProcessor` to normalize non-ASCII characters to their ASCII equivalents. Updated tests and documentation to reflect the changes.

* Refactor tokenization code for improved readability and maintainability

Reorganized and reformatted the tokenization module, including `TokensProcessor` initialization and ASCII folding mappings for better clarity. Updated tests to align with the changes.

* Update test cases to reflect optional tokenizer settings changes

Adjusted `ascii_folding`, `lowercase`, and `phrase_matching` settings in tests to `None` where applicable, aligning with updates in tokenizer configuration defaults.

* address review remarks

* fix codespell

* thx coderabbit

* Don't copy tokens that are already ASCII

* Shrink folded string to fit

---------

Co-authored-by: Luis Cossío <luis.cossio@outlook.com>
Co-authored-by: timvisee <tim@visee.me>

2025-10-16 13:53:01 +02:00

164 KiB

Raw Blame History

Protocol Documentation

collections.proto
collections_service.proto
- Collections
health_check.proto
json_with_int.proto
points.proto
points_service.proto
- Points
qdrant.proto
qdrant_internal_service.proto
snapshots_service.proto
Scalar Value Types

Top

collections.proto

AbortShardTransfer

Field	Type	Label	Description
shard_id	uint32		Local shard id
to_shard_id	uint32	optional
from_peer_id	uint64
to_peer_id	uint64

AliasDescription

Field	Type	Label	Description
alias_name	string		Name of the alias
collection_name	string		Name of the collection

AliasOperations

Field	Type	Label	Description
create_alias	CreateAlias
rename_alias	RenameAlias
delete_alias	DeleteAlias

BinaryQuantization

Field	Type	Label	Description
always_ram	bool	optional	If true - quantized vectors always will be stored in RAM, ignoring the config of main storage
encoding	BinaryQuantizationEncoding	optional	Binary quantization encoding method
query_encoding	BinaryQuantizationQueryEncoding	optional	Asymmetric quantization configuration allows a query to have different quantization than stored vectors. It can increase the accuracy of search at the cost of performance.

BinaryQuantizationQueryEncoding

Field	Type	Label	Description
setting	BinaryQuantizationQueryEncoding.Setting

BoolIndexParams

Field	Type	Label	Description
on_disk	bool	optional	If true - store index on disk.

ChangeAliases

Field	Type	Label	Description
actions	AliasOperations	repeated	List of actions
timeout	uint64	optional	Wait timeout for operation commit in seconds, if not specified - default value will be supplied

CollectionClusterInfoRequest

Field	Type	Label	Description
collection_name	string		Name of the collection

CollectionClusterInfoResponse

Field	Type	Label	Description
peer_id	uint64		ID of this peer
shard_count	uint64		Total number of shards
local_shards	LocalShardInfo	repeated	Local shards
remote_shards	RemoteShardInfo	repeated	Remote shards
shard_transfers	ShardTransferInfo	repeated	Shard transfers
resharding_operations	ReshardingInfo	repeated	Resharding operations

CollectionConfig

Field	Type	Label	Description
params	CollectionParams		Collection parameters
hnsw_config	HnswConfigDiff		Configuration of vector index
optimizer_config	OptimizersConfigDiff		Configuration of the optimizers
wal_config	WalConfigDiff		Configuration of the Write-Ahead-Log
quantization_config	QuantizationConfig	optional	Configuration of the vector quantization
strict_mode_config	StrictModeConfig	optional	Configuration of strict mode.
metadata	CollectionConfig.MetadataEntry	repeated	Arbitrary JSON metadata for the collection

CollectionConfig.MetadataEntry

Field	Type	Label	Description
key	string
value	Value

CollectionDescription

Field	Type	Label	Description
name	string		Name of the collection

CollectionExists

Field	Type	Label	Description
exists	bool

CollectionExistsRequest

Field	Type	Label	Description
collection_name	string

CollectionExistsResponse

Field	Type	Label	Description
result	CollectionExists
time	double		Time spent to process

CollectionInfo

Field	Type	Label	Description
status	CollectionStatus		operating condition of the collection
optimizer_status	OptimizerStatus		status of collection optimizers
segments_count	uint64		Number of independent segments
config	CollectionConfig		Configuration
payload_schema	CollectionInfo.PayloadSchemaEntry	repeated	Collection data types
points_count	uint64	optional	Approximate number of points in the collection
indexed_vectors_count	uint64	optional	Approximate number of indexed vectors in the collection.
warnings	CollectionWarning	repeated	Warnings related to the collection

CollectionInfo.PayloadSchemaEntry

Field	Type	Label	Description
key	string
value	PayloadSchemaInfo

CollectionOperationResponse

Field	Type	Label	Description
result	bool		if operation made changes
time	double		Time spent to process

CollectionParams

Field	Type	Label	Description
shard_number	uint32		Number of shards in collection
on_disk_payload	bool		If true - point's payload will not be stored in memory
vectors_config	VectorsConfig	optional	Configuration for vectors
replication_factor	uint32	optional	Number of replicas of each shard that network tries to maintain
write_consistency_factor	uint32	optional	How many replicas should apply the operation for us to consider it successful
read_fan_out_factor	uint32	optional	Fan-out every read request to these many additional remote nodes (and return first available response)
sharding_method	ShardingMethod	optional	Sharding method
sparse_vectors_config	SparseVectorConfig	optional	Configuration for sparse vectors

CollectionParamsDiff

Field	Type	Label	Description
replication_factor	uint32	optional	Number of replicas of each shard that network tries to maintain
write_consistency_factor	uint32	optional	How many replicas should apply the operation for us to consider it successful
on_disk_payload	bool	optional	If true - point's payload will not be stored in memory
read_fan_out_factor	uint32	optional	Fan-out every read request to these many additional remote nodes (and return first available response)

CollectionWarning

Field	Type	Label	Description
message	string

CreateAlias

Field	Type	Label	Description
collection_name	string		Name of the collection
alias_name	string		New name of the alias

CreateCollection

Field	Type	Label	Description
collection_name	string		Name of the collection
hnsw_config	HnswConfigDiff	optional	Configuration of vector index
wal_config	WalConfigDiff	optional	Configuration of the Write-Ahead-Log
optimizers_config	OptimizersConfigDiff	optional	Configuration of the optimizers
shard_number	uint32	optional	Number of shards in the collection, default is 1 for standalone, otherwise equal to the number of nodes. Minimum is 1
on_disk_payload	bool	optional	If true - point's payload will not be stored in memory
timeout	uint64	optional	Wait timeout for operation commit in seconds, if not specified - default value will be supplied
vectors_config	VectorsConfig	optional	Configuration for vectors
replication_factor	uint32	optional	Number of replicas of each shard that network tries to maintain, default = 1
write_consistency_factor	uint32	optional	How many replicas should apply the operation for us to consider it successful, default = 1
init_from_collection	string	optional	Deprecated: specify name of the other collection to copy data from
quantization_config	QuantizationConfig	optional	Quantization configuration of vector
sharding_method	ShardingMethod	optional	Sharding method
sparse_vectors_config	SparseVectorConfig	optional	Configuration for sparse vectors
strict_mode_config	StrictModeConfig	optional	Configuration for strict mode
metadata	CreateCollection.MetadataEntry	repeated	Arbitrary JSON metadata for the collection

CreateCollection.MetadataEntry

Field	Type	Label	Description
key	string
value	Value

CreateShardKey

Field	Type	Label	Description
shard_key	ShardKey		User-defined shard key
shards_number	uint32	optional	Number of shards to create per shard key
replication_factor	uint32	optional	Number of replicas of each shard to create
placement	uint64	repeated	List of peer ids, allowed to create shards. If empty - all peers are allowed

CreateShardKeyRequest

Field	Type	Label	Description
collection_name	string		Name of the collection
request	CreateShardKey		Request to create shard key
timeout	uint64	optional	Wait timeout for operation commit in seconds, if not specified - default value will be supplied

CreateShardKeyResponse

Field	Type	Label	Description
result	bool

DatetimeIndexParams

Field	Type	Label	Description
on_disk	bool	optional	If true - store index on disk.
is_principal	bool	optional	If true - use this key to organize storage of the collection data. This option assumes that this key will be used in majority of filtered requests.

DeleteAlias

Field	Type	Label	Description
alias_name	string		Name of the alias

DeleteCollection

Field	Type	Label	Description
collection_name	string		Name of the collection
timeout	uint64	optional	Wait timeout for operation commit in seconds, if not specified - default value will be supplied

DeleteShardKey

Field	Type	Label	Description
shard_key	ShardKey		Shard key to delete

DeleteShardKeyRequest

Field	Type	Label	Description
collection_name	string		Name of the collection
request	DeleteShardKey		Request to delete shard key
timeout	uint64	optional	Wait timeout for operation commit in seconds, if not specified - default value will be supplied

DeleteShardKeyResponse

Field	Type	Label	Description
result	bool

Disabled

FloatIndexParams

Field	Type	Label	Description
on_disk	bool	optional	If true - store index on disk.
is_principal	bool	optional	If true - use this key to organize storage of the collection data. This option assumes that this key will be used in majority of filtered requests.

GeoIndexParams

Field	Type	Label	Description
on_disk	bool	optional	If true - store index on disk.

GetCollectionInfoRequest

Field	Type	Label	Description
collection_name	string		Name of the collection

GetCollectionInfoResponse

Field	Type	Label	Description
result	CollectionInfo
time	double		Time spent to process

HnswConfigDiff

Field	Type	Label	Description
m	uint64	optional	Number of edges per node in the index graph. Larger the value - more accurate the search, more space required.
ef_construct	uint64	optional	Number of neighbours to consider during the index building. Larger the value - more accurate the search, more time required to build the index.
full_scan_threshold	uint64	optional	Minimal size threshold (in KiloBytes) below which full-scan is preferred over HNSW search. This measures the total size of vectors being queried against. When the maximum estimated amount of points that a condition satisfies is smaller than `full_scan_threshold`, the query planner will use full-scan search instead of HNSW index traversal for better performance. Note: 1Kb = 1 vector of size 256
max_indexing_threads	uint64	optional	Number of parallel threads used for background index building. If 0 - automatically select from 8 to 16. Best to keep between 8 and 16 to prevent likelihood of building broken/inefficient HNSW graphs. On small CPUs, less threads are used.
on_disk	bool	optional	Store HNSW index on disk. If set to false, the index will be stored in RAM.
payload_m	uint64	optional	Number of additional payload-aware links per node in the index graph. If not set - regular M parameter will be used.
inline_storage	bool	optional	Store copies of original and quantized vectors within the HNSW index file. Default: false. Enabling this option will trade the search speed for disk usage by reducing amount of random seeks during the search. Requires quantized vectors to be enabled. Multi-vectors are not supported.

IntegerIndexParams

Field	Type	Label	Description
lookup	bool	optional	If true - support direct lookups. Default is true.
range	bool	optional	If true - support ranges filters. Default is true.
is_principal	bool	optional	If true - use this key to organize storage of the collection data. This option assumes that this key will be used in majority of filtered requests. Default is false.
on_disk	bool	optional	If true - store index on disk. Default is false.

KeywordIndexParams

Field	Type	Label	Description
is_tenant	bool	optional	If true - used for tenant optimization.
on_disk	bool	optional	If true - store index on disk.

ListAliasesRequest

ListAliasesResponse

Field	Type	Label	Description
aliases	AliasDescription	repeated
time	double		Time spent to process

ListCollectionAliasesRequest

Field	Type	Label	Description
collection_name	string		Name of the collection

ListCollectionsRequest

ListCollectionsResponse

Field	Type	Label	Description
collections	CollectionDescription	repeated
time	double		Time spent to process

LocalShardInfo

Field	Type	Label	Description
shard_id	uint32		Local shard id
points_count	uint64		Number of points in the shard
state	ReplicaState		Is replica active
shard_key	ShardKey	optional	User-defined shard key

MaxOptimizationThreads

Field	Type	Label	Description
value	uint64
setting	MaxOptimizationThreads.Setting

MoveShard

Field	Type	Label	Description
shard_id	uint32		Local shard id
to_shard_id	uint32	optional
from_peer_id	uint64
to_peer_id	uint64
method	ShardTransferMethod	optional

MultiVectorConfig

Field	Type	Label	Description
comparator	MultiVectorComparator		Comparator for multi-vector search

OptimizerStatus

Field	Type	Label	Description
ok	bool
error	string

OptimizersConfigDiff

Field	Type	Label	Description
deleted_threshold	double	optional	The minimal fraction of deleted vectors in a segment, required to perform segment optimization
vacuum_min_vector_number	uint64	optional	The minimal number of vectors in a segment, required to perform segment optimization
default_segment_number	uint64	optional	Target amount of segments the optimizer will try to keep. Real amount of segments may vary depending on multiple parameters:

Amount of stored points. - Current write RPS.

It is recommended to select the default number of segments as a factor of the number of search threads, so that each segment would be handled evenly by one of the threads. | | max_segment_size | uint64 | optional | Deprecated:

Do not create segments larger this size (in kilobytes). Large segments might require disproportionately long indexation times, therefore it makes sense to limit the size of segments.

If indexing speed is more important - make this parameter lower. If search speed is more important - make this parameter higher. Note: 1Kb = 1 vector of size 256 If not set, will be automatically selected considering the number of available CPUs. | | memmap_threshold | uint64 | optional | Maximum size (in kilobytes) of vectors to store in-memory per segment. Segments larger than this threshold will be stored as read-only memmapped file.

Memmap storage is disabled by default, to enable it, set this threshold to a reasonable value.

To disable memmap storage, set this to 0.

Default value is 20,000, based on <https://github.com/google-research/google-research/blob/master/scann/docs/algorithms.md>.

To disable vector indexing, set to 0.

Note: 1kB = 1 vector of size 256. | | flush_interval_sec | uint64 | optional | Interval between forced flushes. | | deprecated_max_optimization_threads | uint64 | optional | Deprecated in favor of max_optimization_threads | | max_optimization_threads | MaxOptimizationThreads | optional | Max number of threads (jobs) for running optimizations per shard. Note: each optimization job will also use max_indexing_threads threads by itself for index building. If "auto" - have no limit and choose dynamically to saturate CPU. If 0 - no optimization threads, optimizations will be disabled. |

PayloadIndexParams

Field	Type	Description
keyword_index_params	KeywordIndexParams	Parameters for keyword index
integer_index_params	IntegerIndexParams	Parameters for integer index
float_index_params	FloatIndexParams	Parameters for float index
geo_index_params	GeoIndexParams	Parameters for geo index
text_index_params	TextIndexParams	Parameters for text index
bool_index_params	BoolIndexParams	Parameters for bool index
datetime_index_params	DatetimeIndexParams	Parameters for datetime index
uuid_index_params	UuidIndexParams	Parameters for uuid index

PayloadSchemaInfo

Field	Type	Label	Description
data_type	PayloadSchemaType		Field data type
params	PayloadIndexParams	optional	Field index parameters
points	uint64	optional	Number of points indexed within this field indexed

ProductQuantization

Field	Type	Label	Description
compression	CompressionRatio		Compression ratio
always_ram	bool	optional	If true - quantized vectors always will be stored in RAM, ignoring the config of main storage

QuantizationConfig

Field	Type	Label	Description
scalar	ScalarQuantization
product	ProductQuantization
binary	BinaryQuantization

QuantizationConfigDiff

Field	Type	Label	Description
scalar	ScalarQuantization
product	ProductQuantization
disabled	Disabled
binary	BinaryQuantization

RemoteShardInfo

Field	Type	Label	Description
shard_id	uint32		Local shard id
peer_id	uint64		Remote peer id
state	ReplicaState		Is replica active
shard_key	ShardKey	optional	User-defined shard key

RenameAlias

Field	Type	Label	Description
old_alias_name	string		Name of the alias to rename
new_alias_name	string		Name of the alias

Replica

Field	Type	Label	Description
shard_id	uint32
peer_id	uint64

ReplicateShard

Field	Type	Label	Description
shard_id	uint32		Local shard id
to_shard_id	uint32	optional
from_peer_id	uint64
to_peer_id	uint64
method	ShardTransferMethod	optional

ReshardingInfo

Field	Type	Label
shard_id	uint32
peer_id	uint64
shard_key	ShardKey	optional
direction	ReshardingDirection

RestartTransfer

Field	Type	Label	Description
shard_id	uint32		Local shard id
to_shard_id	uint32	optional
from_peer_id	uint64
to_peer_id	uint64
method	ShardTransferMethod

ScalarQuantization

Field	Type	Label	Description
type	QuantizationType		Type of quantization
quantile	float	optional	Number of bits to use for quantization
always_ram	bool	optional	If true - quantized vectors always will be stored in RAM, ignoring the config of main storage

ShardKey

Field	Type	Label	Description
keyword	string		String key
number	uint64		Number key

ShardTransferInfo

Field	Type	Label	Description
shard_id	uint32		Local shard id
to_shard_id	uint32	optional
from	uint64
to	uint64
sync	bool		If `true` transfer is a synchronization of a replicas; If `false` transfer is a moving of a shard from one peer to another

SnowballParams

Field	Type	Label	Description
language	string		Which language the algorithm should stem.

SparseIndexConfig

Field	Type	Label	Description
full_scan_threshold	uint64	optional	Prefer a full scan search upto (excluding) this number of vectors. Note: this is number of vectors, not KiloBytes.
on_disk	bool	optional	Store inverted index on disk. If set to false, the index will be stored in RAM.
datatype	Datatype	optional	Datatype used to store weights in the index.

SparseVectorConfig

Field	Type	Label	Description
map	SparseVectorConfig.MapEntry	repeated

SparseVectorConfig.MapEntry

Field	Type	Label	Description
key	string
value	SparseVectorParams

SparseVectorParams

Field	Type	Label	Description
index	SparseIndexConfig	optional	Configuration of sparse index
modifier	Modifier	optional	If set - apply modifier to the vector values

StemmingAlgorithm

Field	Type	Label	Description
snowball	SnowballParams		Parameters for snowball stemming

StopwordsSet

Field	Type	Label	Description
languages	string	repeated	List of languages to use stopwords from
custom	string	repeated	List of custom stopwords

StrictModeConfig

Field	Type	Label	Description
enabled	bool	optional	Whether strict mode is enabled for a collection or not.
max_query_limit	uint32	optional	Max allowed `limit` parameter for all APIs that don't have their own max limit.
max_timeout	uint32	optional	Max allowed `timeout` parameter.
unindexed_filtering_retrieve	bool	optional	Allow usage of unindexed fields in retrieval based (e.g. search) filters.
unindexed_filtering_update	bool	optional	Allow usage of unindexed fields in filtered updates (e.g. delete by payload).
search_max_hnsw_ef	uint32	optional	Max HNSW ef value allowed in search parameters.
search_allow_exact	bool	optional	Whether exact search is allowed.
search_max_oversampling	float	optional	Max oversampling value allowed in search
upsert_max_batchsize	uint64	optional	Max batchsize when upserting
max_collection_vector_size_bytes	uint64	optional	Max size of a collections vector storage in bytes, ignoring replicas.
read_rate_limit	uint32	optional	Max number of read operations per minute per replica
write_rate_limit	uint32	optional	Max number of write operations per minute per replica
max_collection_payload_size_bytes	uint64	optional	Max size of a collections payload storage in bytes, ignoring replicas.
filter_max_conditions	uint64	optional	Max conditions a filter can have.
condition_max_size	uint64	optional	Max size of a condition, eg. items in `MatchAny`.
multivector_config	StrictModeMultivectorConfig	optional	Multivector strict mode configuration
sparse_config	StrictModeSparseConfig	optional	Sparse vector strict mode configuration
max_points_count	uint64	optional	Max number of points estimated in a collection
max_payload_index_count	uint64	optional	Max number of payload indexes in a collection

StrictModeMultivector

Field	Type	Label	Description
max_vectors	uint64	optional	Max number of vectors in a multivector

StrictModeMultivectorConfig

Field	Type	Label	Description
multivector_config	StrictModeMultivectorConfig.MultivectorConfigEntry	repeated

StrictModeMultivectorConfig.MultivectorConfigEntry

Field	Type	Label	Description
key	string
value	StrictModeMultivector

StrictModeSparse

Field	Type	Label	Description
max_length	uint64	optional	Max length of sparse vector

StrictModeSparseConfig

Field	Type	Label	Description
sparse_config	StrictModeSparseConfig.SparseConfigEntry	repeated

StrictModeSparseConfig.SparseConfigEntry

Field	Type	Label	Description
key	string
value	StrictModeSparse

TextIndexParams

Field	Type	Label	Description
tokenizer	TokenizerType		Tokenizer type
lowercase	bool	optional	If true - all tokens will be lowercase
min_token_len	uint64	optional	Minimal token length
max_token_len	uint64	optional	Maximal token length
on_disk	bool	optional	If true - store index on disk.
stopwords	StopwordsSet	optional	Stopwords for the text index
phrase_matching	bool	optional	If true - support phrase matching.
stemmer	StemmingAlgorithm	optional	Set an algorithm for stemming.
ascii_folding	bool	optional	If true, normalize tokens by folding accented characters to ASCII (e.g., "ação" -> "acao"). Default: false.

UpdateCollection

Field	Type	Label	Description
collection_name	string		Name of the collection
optimizers_config	OptimizersConfigDiff	optional	New configuration parameters for the collection. This operation is blocking, it will only proceed once all current optimizations are complete
timeout	uint64	optional	Wait timeout for operation commit in seconds if blocking, if not specified - default value will be supplied
params	CollectionParamsDiff	optional	New configuration parameters for the collection
hnsw_config	HnswConfigDiff	optional	New HNSW parameters for the collection index
vectors_config	VectorsConfigDiff	optional	New vector parameters
quantization_config	QuantizationConfigDiff	optional	Quantization configuration of vector
sparse_vectors_config	SparseVectorConfig	optional	New sparse vector parameters
strict_mode_config	StrictModeConfig	optional	New strict mode configuration
metadata	UpdateCollection.MetadataEntry	repeated	Arbitrary JSON-like metadata for the collection, will be merged with already stored metadata

UpdateCollection.MetadataEntry

Field	Type	Label	Description
key	string
value	Value

UpdateCollectionClusterSetupRequest

Field	Type	Label	Description
collection_name	string		Name of the collection
move_shard	MoveShard
replicate_shard	ReplicateShard
abort_transfer	AbortShardTransfer
drop_replica	Replica
create_shard_key	CreateShardKey
delete_shard_key	DeleteShardKey
restart_transfer	RestartTransfer
timeout	uint64	optional	Wait timeout for operation commit in seconds, if not specified - default value will be supplied

UpdateCollectionClusterSetupResponse

Field	Type	Label	Description
result	bool

UuidIndexParams

Field	Type	Label	Description
is_tenant	bool	optional	If true - used for tenant optimization.
on_disk	bool	optional	If true - store index on disk.

VectorParams

Field	Type	Label	Description
size	uint64		Size of the vectors
distance	Distance		Distance function used for comparing vectors
hnsw_config	HnswConfigDiff	optional	Configuration of vector HNSW graph. If omitted - the collection configuration will be used
quantization_config	QuantizationConfig	optional	Configuration of vector quantization config. If omitted - the collection configuration will be used
on_disk	bool	optional	If true - serve vectors from disk. If set to false, the vectors will be loaded in RAM.
datatype	Datatype	optional	Data type of the vectors
multivector_config	MultiVectorConfig	optional	Configuration for multi-vector search

VectorParamsDiff

Field	Type	Label	Description
hnsw_config	HnswConfigDiff	optional	Update params for HNSW index. If empty object - it will be unset
quantization_config	QuantizationConfigDiff	optional	Update quantization params. If none - it is left unchanged.
on_disk	bool	optional	If true - serve vectors from disk. If set to false, the vectors will be loaded in RAM.

VectorParamsDiffMap

Field	Type	Label	Description
map	VectorParamsDiffMap.MapEntry	repeated

VectorParamsDiffMap.MapEntry

Field	Type	Label	Description
key	string
value	VectorParamsDiff

VectorParamsMap

Field	Type	Label	Description
map	VectorParamsMap.MapEntry	repeated

VectorParamsMap.MapEntry

Field	Type	Label	Description
key	string
value	VectorParams

VectorsConfig

Field	Type	Label	Description
params	VectorParams
params_map	VectorParamsMap

VectorsConfigDiff

Field	Type	Label	Description
params	VectorParamsDiff
params_map	VectorParamsDiffMap

WalConfigDiff

Field	Type	Label	Description
wal_capacity_mb	uint64	optional	Size of a single WAL block file
wal_segments_ahead	uint64	optional	Number of segments to create in advance
wal_retain_closed	uint64	optional	Number of closed segments to retain

BinaryQuantizationEncoding

Name	Number	Description
OneBit	0
TwoBits	1
OneAndHalfBits	2

BinaryQuantizationQueryEncoding.Setting

Name	Number	Description
Default	0
Binary	1
Scalar4Bits	2
Scalar8Bits	3

CollectionStatus

Name	Number	Description
UnknownCollectionStatus	0
Green	1	All segments are ready
Yellow	2	Optimization in process
Red	3	Something went wrong
Grey	4	Optimization is pending

CompressionRatio

Name	Number	Description
x4	0
x8	1
x16	2
x32	3
x64	4

Datatype

Name	Number	Description
Default	0
Float32	1
Uint8	2
Float16	3

Distance

Name	Number	Description
UnknownDistance	0
Cosine	1
Euclid	2
Dot	3
Manhattan	4

MaxOptimizationThreads.Setting

Name	Number	Description
Auto	0

Modifier

Name	Number	Description
None	0
Idf	1	Apply Inverse Document Frequency

MultiVectorComparator

Name	Number	Description
MaxSim	0

PayloadSchemaType

Name	Number	Description
UnknownType	0
Keyword	1
Integer	2
Float	3
Geo	4
Text	5
Bool	6
Datetime	7
Uuid	8

QuantizationType

Name	Number	Description
UnknownQuantization	0
Int8	1

ReplicaState

Name	Number	Description
Active	0	Active and sound
Dead	1	Failed for some reason
Partial	2	The shard is partially loaded and is currently receiving data from other shards
Initializing	3	Collection is being created
Listener	4	A shard which receives data, but is not used for search; Useful for backup shards
PartialSnapshot	5	Deprecated: snapshot shard transfer is in progress; Updates should not be sent to (and are ignored by) the shard
Recovery	6	Shard is undergoing recovered by an external node; Normally rejects updates, accepts updates if force is true
Resharding	7	Points are being migrated to this shard as part of scale-up resharding
ReshardingScaleDown	8	Points are being migrated to this shard as part of scale-down resharding

ReshardingDirection

Resharding direction, scale up or down in number of shards

Name	Number	Description
Up	0	Scale up, add a new shard
Down	1	Scale down, remove a shard

ShardTransferMethod

Name	Number	Description
StreamRecords	0	Stream shard records in batches
Snapshot	1	Snapshot the shard and recover it on the target peer
WalDelta	2	Resolve WAL delta between peers and transfer the difference
ReshardingStreamRecords	3	Stream shard records in batches for resharding

ShardingMethod

Name	Number	Description
Auto	0	Auto-sharding based on record ids
Custom	1	Shard by user-defined key

TokenizerType

Name	Number	Description
Unknown	0
Prefix	1
Whitespace	2
Word	3
Multilingual	4

Top

collections_service.proto

Collections

Method Name	Request Type	Response Type	Description
Get	GetCollectionInfoRequest	GetCollectionInfoResponse	Get detailed information about specified existing collection
List	ListCollectionsRequest	ListCollectionsResponse	Get list name of all existing collections
Create	CreateCollection	CollectionOperationResponse	Create new collection with given parameters
Update	UpdateCollection	CollectionOperationResponse	Update parameters of the existing collection
Delete	DeleteCollection	CollectionOperationResponse	Drop collection and all associated data
UpdateAliases	ChangeAliases	CollectionOperationResponse	Update Aliases of the existing collection
ListCollectionAliases	ListCollectionAliasesRequest	ListAliasesResponse	Get list of all aliases for a collection
ListAliases	ListAliasesRequest	ListAliasesResponse	Get list of all aliases for all existing collections
CollectionClusterInfo	CollectionClusterInfoRequest	CollectionClusterInfoResponse	Get cluster information for a collection
CollectionExists	CollectionExistsRequest	CollectionExistsResponse	Check the existence of a collection
UpdateCollectionClusterSetup	UpdateCollectionClusterSetupRequest	UpdateCollectionClusterSetupResponse	Update cluster setup for a collection
CreateShardKey	CreateShardKeyRequest	CreateShardKeyResponse	Create shard key
DeleteShardKey	DeleteShardKeyRequest	DeleteShardKeyResponse	Delete shard key

Top

health_check.proto

source: https://github.com/grpc/grpc/blob/master/doc/health-checking.md#service-definition

HealthCheckRequest

Field	Type	Label	Description
service	string

HealthCheckResponse

Field	Type	Label	Description
status	HealthCheckResponse.ServingStatus

HealthCheckResponse.ServingStatus

Name	Number	Description
UNKNOWN	0
SERVING	1
NOT_SERVING	2
SERVICE_UNKNOWN	3	Used only by the Watch method.

Health

Method Name	Request Type	Response Type	Description
Check	HealthCheckRequest	HealthCheckResponse

Top

json_with_int.proto

ListValue

ListValue is a wrapper around a repeated field of values.

The JSON representation for ListValue is a JSON array.

Field	Type	Label	Description
values	Value	repeated	Repeated field of dynamically typed values.

Struct

Struct represents a structured data value, consisting of fields which map to dynamically typed values. In some languages, Struct might be supported by a native representation. For example, in scripting languages like JS a struct is represented as an object. The details of that representation are described together with the proto support for the language.

The JSON representation for Struct is a JSON object.

Field	Type	Label	Description
fields	Struct.FieldsEntry	repeated	Unordered map of dynamically typed values.

Struct.FieldsEntry

Field	Type	Label	Description
key	string
value	Value

Value

Value represents a dynamically typed value which can be either null, a number, a string, a boolean, a recursive struct value, or a list of values. A producer of value is expected to set one of those variants, absence of any variant indicates an error.

The JSON representation for Value is a JSON value.

Field	Type	Description
null_value	NullValue	Represents a null value.
double_value	double	Represents a double value.
integer_value	int64	Represents an integer value
string_value	string	Represents a string value.
bool_value	bool	Represents a boolean value.
struct_value	Struct	Represents a structured value.
list_value	ListValue	Represents a repeated `Value`.

NullValue

NullValue is a singleton enumeration to represent the null value for the Value type union.

The JSON representation for NullValue is JSON null.

Name	Number	Description
NULL_VALUE	0	Null value.

Top

points.proto

BatchResult

Field	Type	Label	Description
result	ScoredPoint	repeated

ClearPayloadPoints

Field	Type	Label	Description
collection_name	string		name of the collection
wait	bool	optional	Wait until the changes have been applied?
points	PointsSelector		Affected points
ordering	WriteOrdering	optional	Write ordering guarantees
shard_key_selector	ShardKeySelector	optional	Option for custom sharding to specify used shard keys

Condition

Field	Type	Label	Description
field	FieldCondition
is_empty	IsEmptyCondition
has_id	HasIdCondition
filter	Filter
is_null	IsNullCondition
nested	NestedCondition
has_vector	HasVectorCondition

ContextExamplePair

Field	Type	Label	Description
positive	VectorExample
negative	VectorExample

ContextInput

Field	Type	Label	Description
pairs	ContextInputPair	repeated	Search space will be constrained by these pairs of vectors

ContextInputPair

Field	Type	Label	Description
positive	VectorInput		A positive vector
negative	VectorInput		Repel from this vector

CountPoints

Field	Type	Label	Description
collection_name	string		Name of the collection
filter	Filter		Filter conditions - return only those points that satisfy the specified conditions
exact	bool	optional	If `true` - return exact count, if `false` - return approximate count
read_consistency	ReadConsistency	optional	Options for specifying read consistency guarantees
shard_key_selector	ShardKeySelector	optional	Specify in which shards to look for the points, if not specified - look in all shards
timeout	uint64	optional	If set, overrides global timeout setting for this request. Unit is seconds.

CountResponse

Field	Type	Label	Description
result	CountResult
time	double		Time spent to process
usage	Usage	optional

CountResult

Field	Type	Label	Description
count	uint64

CreateFieldIndexCollection

Field	Type	Label	Description
collection_name	string		name of the collection
wait	bool	optional	Wait until the changes have been applied?
field_name	string		Field name to index
field_type	FieldType	optional	Field type.
field_index_params	PayloadIndexParams	optional	Payload index params.
ordering	WriteOrdering	optional	Write ordering guarantees

DatetimeRange

Field	Type	Label
lt	google.protobuf.Timestamp	optional
gt	google.protobuf.Timestamp	optional
gte	google.protobuf.Timestamp	optional
lte	google.protobuf.Timestamp	optional

DecayParamsExpression

Field	Type	Label	Description
x	Expression		The variable to decay
target	Expression	optional	The target value to start decaying from. Defaults to 0.
scale	float	optional	The scale factor of the decay, in terms of `x`. Defaults to 1.0. Must be a non-zero positive number.
midpoint	float	optional	The midpoint of the decay. Should be between 0 and 1. Defaults to 0.5. Output will be this value when `

DeleteFieldIndexCollection

Field	Type	Label	Description
collection_name	string		name of the collection
wait	bool	optional	Wait until the changes have been applied?
field_name	string		Field name to delete
ordering	WriteOrdering	optional	Write ordering guarantees

DeletePayloadPoints

Field	Type	Label	Description
collection_name	string		name of the collection
wait	bool	optional	Wait until the changes have been applied?
keys	string	repeated	List of keys to delete
points_selector	PointsSelector	optional	Affected points
ordering	WriteOrdering	optional	Write ordering guarantees
shard_key_selector	ShardKeySelector	optional	Option for custom sharding to specify used shard keys

DeletePointVectors

Field	Type	Label	Description
collection_name	string		name of the collection
wait	bool	optional	Wait until the changes have been applied?
points_selector	PointsSelector		Affected points
vectors	VectorsSelector		List of vector names to delete
ordering	WriteOrdering	optional	Write ordering guarantees
shard_key_selector	ShardKeySelector	optional	Option for custom sharding to specify used shard keys

DeletePoints

Field	Type	Label	Description
collection_name	string		name of the collection
wait	bool	optional	Wait until the changes have been applied?
points	PointsSelector		Affected points
ordering	WriteOrdering	optional	Write ordering guarantees
shard_key_selector	ShardKeySelector	optional	Option for custom sharding to specify used shard keys

DenseVector

Field	Type	Label	Description
data	float	repeated

DiscoverBatchPoints

Field	Type	Label	Description
collection_name	string		Name of the collection
discover_points	DiscoverPoints	repeated
read_consistency	ReadConsistency	optional	Options for specifying read consistency guarantees
timeout	uint64	optional	If set, overrides global timeout setting for this request. Unit is seconds.

DiscoverBatchResponse

Field	Type	Label	Description
result	BatchResult	repeated
time	double		Time spent to process
usage	Usage	optional

DiscoverInput

Field	Type	Label	Description
target	VectorInput		Use this as the primary search objective
context	ContextInput		Search space will be constrained by these pairs of vectors

DiscoverPoints

Field	Type	Label	Description
collection_name	string		name of the collection
target	TargetVector		Use this as the primary search objective
context	ContextExamplePair	repeated	Search will be constrained by these pairs of examples
filter	Filter		Filter conditions - return only those points that satisfy the specified conditions
limit	uint64		Max number of result
with_payload	WithPayloadSelector		Options for specifying which payload to include or not
params	SearchParams		Search config
offset	uint64	optional	Offset of the result
using	string	optional	Define which vector to use for recommendation, if not specified - default vector
with_vectors	WithVectorsSelector	optional	Options for specifying which vectors to include into response
lookup_from	LookupLocation	optional	Name of the collection to use for points lookup, if not specified - use current collection
read_consistency	ReadConsistency	optional	Options for specifying read consistency guarantees
timeout	uint64	optional	If set, overrides global timeout setting for this request. Unit is seconds.
shard_key_selector	ShardKeySelector	optional	Specify in which shards to look for the points, if not specified - look in all shards

DiscoverResponse

Field	Type	Label	Description
result	ScoredPoint	repeated
time	double		Time spent to process
usage	Usage	optional

DivExpression

Field	Type	Label
left	Expression
right	Expression
by_zero_default	float	optional

Document

Field	Type	Label	Description
text	string		Text of the document
model	string		Model name
options	Document.OptionsEntry	repeated	Model options

Document.OptionsEntry

Field	Type	Label	Description
key	string
value	Value

Expression

Field	Type	Description
constant	float
variable	string	Payload key or reference to score.
condition	Condition	Payload condition. If true, becomes 1.0; otherwise 0.0
geo_distance	GeoDistance	Geographic distance in meters
datetime	string	Date-time constant
datetime_key	string	Payload key with date-time values
mult	MultExpression	Multiply
sum	SumExpression	Sum
div	DivExpression	Divide
neg	Expression	Negate
abs	Expression	Absolute value
sqrt	Expression	Square root
pow	PowExpression	Power
exp	Expression	Exponential
log10	Expression	Logarithm
ln	Expression	Natural logarithm
exp_decay	DecayParamsExpression	Exponential decay
gauss_decay	DecayParamsExpression	Gaussian decay
lin_decay	DecayParamsExpression	Linear decay

FacetCounts

Field	Type	Label	Description
collection_name	string		Name of the collection
key	string		Payload key of the facet
filter	Filter	optional	Filter conditions - return only those points that satisfy the specified conditions.
limit	uint64	optional	Max number of facets. Default is 10.
exact	bool	optional	If true, return exact counts, slower but useful for debugging purposes. Default is false.
timeout	uint64	optional	If set, overrides global timeout setting for this request. Unit is seconds.
read_consistency	ReadConsistency	optional	Options for specifying read consistency guarantees
shard_key_selector	ShardKeySelector	optional	Specify in which shards to look for the points, if not specified - look in all shards

FacetHit

Field	Type	Label	Description
value	FacetValue		Value from the facet
count	uint64		Number of points with this value

FacetResponse

Field	Type	Label	Description
hits	FacetHit	repeated
time	double		Time spent to process
usage	Usage	optional

FacetValue

Field	Type	Description
string_value	string	String value from the facet
integer_value	int64	Integer value from the facet
bool_value	bool	Boolean value from the facet

FieldCondition

Field	Type	Label	Description
key	string
match	Match		Check if point has field with a given value
range	Range		Check if points value lies in a given range
geo_bounding_box	GeoBoundingBox		Check if points geolocation lies in a given area
geo_radius	GeoRadius		Check if geo point is within a given radius
values_count	ValuesCount		Check number of values for a specific field
geo_polygon	GeoPolygon		Check if geo point is within a given polygon
datetime_range	DatetimeRange		Check if datetime is within a given range
is_empty	bool	optional	Check if field is empty
is_null	bool	optional	Check if field is null

Filter

Field	Type	Label	Description
should	Condition	repeated	At least one of those conditions should match
must	Condition	repeated	All conditions must match
must_not	Condition	repeated	All conditions must NOT match
min_should	MinShould	optional	At least minimum amount of given conditions should match

Formula

Field	Type	Label	Description
expression	Expression
defaults	Formula.DefaultsEntry	repeated

Formula.DefaultsEntry

Field	Type	Label	Description
key	string
value	Value

GeoBoundingBox

Field	Type	Label	Description
top_left	GeoPoint		north-west corner
bottom_right	GeoPoint		south-east corner

GeoDistance

Field	Type	Label	Description
origin	GeoPoint
to	string

GeoLineString

Field	Type	Label	Description
points	GeoPoint	repeated	Ordered sequence of GeoPoints representing the line

GeoPoint

Field	Type	Label	Description
lon	double
lat	double

GeoPolygon

For a valid GeoPolygon, both the exterior and interior GeoLineStrings must consist of a minimum of 4 points. Additionally, the first and last points of each GeoLineString must be the same.

Field	Type	Label	Description
exterior	GeoLineString		The exterior line bounds the surface
interiors	GeoLineString	repeated	Interior lines (if present) bound holes within the surface

GeoRadius

Field	Type	Label	Description
center	GeoPoint		Center of the circle
radius	float		In meters

GetPoints

Field	Type	Label	Description
collection_name	string		name of the collection
ids	PointId	repeated	List of points to retrieve
with_payload	WithPayloadSelector		Options for specifying which payload to include or not
with_vectors	WithVectorsSelector	optional	Options for specifying which vectors to include into response
read_consistency	ReadConsistency	optional	Options for specifying read consistency guarantees
shard_key_selector	ShardKeySelector	optional	Specify in which shards to look for the points, if not specified - look in all shards
timeout	uint64	optional	If set, overrides global timeout setting for this request. Unit is seconds.

GetResponse

Field	Type	Label	Description
result	RetrievedPoint	repeated
time	double		Time spent to process
usage	Usage	optional

GroupId

Field	Type	Description
unsigned_value	uint64	Represents a double value.
integer_value	int64	Represents an integer value
string_value	string	Represents a string value.

GroupsResult

Field	Type	Label	Description
groups	PointGroup	repeated	Groups

HardwareUsage

Field	Type	Label	Description
cpu	uint64
payload_io_read	uint64
payload_io_write	uint64
payload_index_io_read	uint64
payload_index_io_write	uint64
vector_io_read	uint64
vector_io_write	uint64

HasIdCondition

Field	Type	Label	Description
has_id	PointId	repeated

HasVectorCondition

Field	Type	Label	Description
has_vector	string

Image

Field	Type	Label	Description
image	Value		Image data, either base64 encoded or URL
model	string		Model name
options	Image.OptionsEntry	repeated	Model options

Image.OptionsEntry

Field	Type	Label	Description
key	string
value	Value

InferenceObject

Field	Type	Label	Description
object	Value		Object to infer
model	string		Model name
options	InferenceObject.OptionsEntry	repeated	Model options

InferenceObject.OptionsEntry

Field	Type	Label	Description
key	string
value	Value

InferenceUsage

Field	Type	Label	Description
models	InferenceUsage.ModelsEntry	repeated

InferenceUsage.ModelsEntry

Field	Type	Label	Description
key	string
value	ModelUsage

IsEmptyCondition

Field	Type	Label	Description
key	string

IsNullCondition

Field	Type	Label	Description
key	string

LookupLocation

Field	Type	Label	Description
collection_name	string
vector_name	string	optional	Which vector to use for search, if not specified - use default vector
shard_key_selector	ShardKeySelector	optional	Specify in which shards to look for the points, if not specified - look in all shards

Match

Field	Type	Description
keyword	string	Match string keyword
integer	int64	Match integer
boolean	bool	Match boolean
text	string	Match text
keywords	RepeatedStrings	Match multiple keywords
integers	RepeatedIntegers	Match multiple integers
except_integers	RepeatedIntegers	Match any other value except those integers
except_keywords	RepeatedStrings	Match any other value except those keywords
phrase	string	Match phrase text
text_any	string	Match any word in the text

MinShould

Field	Type	Label	Description
conditions	Condition	repeated
min_count	uint64

Mmr

Maximal Marginal Relevance (MMR) algorithm for re-ranking the points.

Field	Type	Label	Description
diversity	float	optional	Tunable parameter for the MMR algorithm. Determines the balance between diversity and relevance.

A higher value favors diversity (dissimilarity to selected results), while a lower value favors relevance (similarity to the query vector).

If not specified, the limit value is used. |

ModelUsage

Field	Type	Label	Description
tokens	uint64

MultExpression

Field	Type	Label	Description
mult	Expression	repeated

MultiDenseVector

Field	Type	Label	Description
vectors	DenseVector	repeated

NamedVectors

Field	Type	Label	Description
vectors	NamedVectors.VectorsEntry	repeated

NamedVectors.VectorsEntry

Field	Type	Label	Description
key	string
value	Vector

NamedVectorsOutput

Field	Type	Label	Description
vectors	NamedVectorsOutput.VectorsEntry	repeated

NamedVectorsOutput.VectorsEntry

Field	Type	Label	Description
key	string
value	VectorOutput

NearestInputWithMmr

Field	Type	Label	Description
nearest	VectorInput		The vector to search for nearest neighbors.
mmr	Mmr		Perform MMR (Maximal Marginal Relevance) reranking after search, using the same vector in this query to calculate relevance.

NestedCondition

Field	Type	Label	Description
key	string		Path to nested object
filter	Filter		Filter condition

OrderBy

Field	Type	Label	Description
key	string		Payload key to order by
direction	Direction	optional	Ascending or descending order
start_from	StartFrom	optional	Start from this value

OrderValue

Field	Type	Label	Description
int	int64
float	double

PayloadExcludeSelector

Field	Type	Label	Description
fields	string	repeated	List of payload keys to exclude from the result

PayloadIncludeSelector

Field	Type	Label	Description
fields	string	repeated	List of payload keys to include into result

PointGroup

Field	Type	Label	Description
id	GroupId		Group id
hits	ScoredPoint	repeated	Points in the group
lookup	RetrievedPoint		Point(s) from the lookup collection that matches the group id

PointId

Field	Type	Label	Description
num	uint64		Numerical ID of the point
uuid	string		UUID

PointStruct

Field	Type	Label
id	PointId
payload	PointStruct.PayloadEntry	repeated
vectors	Vectors	optional

PointStruct.PayloadEntry

Field	Type	Label	Description
key	string
value	Value

PointVectors

Field	Type	Label	Description
id	PointId		ID to update vectors for
vectors	Vectors		Named vectors to update, leave others intact

PointsIdsList

Field	Type	Label	Description
ids	PointId	repeated

PointsOperationResponse

Field	Type	Label	Description
result	UpdateResult
time	double		Time spent to process
usage	Usage	optional

PointsSelector

Field	Type	Label	Description
points	PointsIdsList
filter	Filter

PointsUpdateOperation

Field	Type	Description
upsert	PointsUpdateOperation.PointStructList
delete_deprecated	PointsSelector	Deprecated.
set_payload	PointsUpdateOperation.SetPayload
overwrite_payload	PointsUpdateOperation.OverwritePayload
delete_payload	PointsUpdateOperation.DeletePayload
clear_payload_deprecated	PointsSelector	Deprecated.
update_vectors	PointsUpdateOperation.UpdateVectors
delete_vectors	PointsUpdateOperation.DeleteVectors
delete_points	PointsUpdateOperation.DeletePoints
clear_payload	PointsUpdateOperation.ClearPayload

PointsUpdateOperation.ClearPayload

Field	Type	Label	Description
points	PointsSelector		Affected points
shard_key_selector	ShardKeySelector	optional	Option for custom sharding to specify used shard keys

PointsUpdateOperation.DeletePayload

Field	Type	Label	Description
keys	string	repeated
points_selector	PointsSelector	optional	Affected points
shard_key_selector	ShardKeySelector	optional	Option for custom sharding to specify used shard keys

PointsUpdateOperation.DeletePoints

Field	Type	Label	Description
points	PointsSelector		Affected points
shard_key_selector	ShardKeySelector	optional	Option for custom sharding to specify used shard keys

PointsUpdateOperation.DeleteVectors

Field	Type	Label	Description
points_selector	PointsSelector		Affected points
vectors	VectorsSelector		List of vector names to delete
shard_key_selector	ShardKeySelector	optional	Option for custom sharding to specify used shard keys

PointsUpdateOperation.OverwritePayload

Field	Type	Label	Description
payload	PointsUpdateOperation.OverwritePayload.PayloadEntry	repeated
points_selector	PointsSelector	optional	Affected points
shard_key_selector	ShardKeySelector	optional	Option for custom sharding to specify used shard keys
key	string	optional	Option for indicate property of payload

PointsUpdateOperation.OverwritePayload.PayloadEntry

Field	Type	Label	Description
key	string
value	Value

PointsUpdateOperation.PointStructList

Field	Type	Label	Description
points	PointStruct	repeated
shard_key_selector	ShardKeySelector	optional	Option for custom sharding to specify used shard keys
update_filter	Filter	optional	If specified, only points that match this filter will be updated, others will be inserted

PointsUpdateOperation.SetPayload

Field	Type	Label	Description
payload	PointsUpdateOperation.SetPayload.PayloadEntry	repeated
points_selector	PointsSelector	optional	Affected points
shard_key_selector	ShardKeySelector	optional	Option for custom sharding to specify used shard keys
key	string	optional	Option for indicate property of payload

PointsUpdateOperation.SetPayload.PayloadEntry

Field	Type	Label	Description
key	string
value	Value

PointsUpdateOperation.UpdateVectors

Field	Type	Label	Description
points	PointVectors	repeated	List of points and vectors to update
shard_key_selector	ShardKeySelector	optional	Option for custom sharding to specify used shard keys
update_filter	Filter	optional	If specified, only points that match this filter will be updated

PowExpression

Field	Type	Label	Description
base	Expression
exponent	Expression

PrefetchQuery

Field	Type	Label	Description
prefetch	PrefetchQuery	repeated	Sub-requests to perform first. If present, the query will be performed on the results of the prefetches.
query	Query	optional	Query to perform. If missing, returns points ordered by their IDs.
using	string	optional	Define which vector to use for querying. If missing, the default vector is is used.
filter	Filter	optional	Filter conditions - return only those points that satisfy the specified conditions.
params	SearchParams	optional	Search params for when there is no prefetch.
score_threshold	float	optional	Return points with scores better than this threshold.
limit	uint64	optional	Max number of points. Default is 10
lookup_from	LookupLocation	optional	The location to use for IDs lookup, if not specified - use the current collection and the 'using' vector

QuantizationSearchParams

Field	Type	Label	Description
ignore	bool	optional	If set to true, search will ignore quantized vector data
rescore	bool	optional	If true, use original vectors to re-score top-k results. If ignored, qdrant decides automatically does rescore enabled or not.
oversampling	double	optional	Oversampling factor for quantization.

Defines how many extra vectors should be pre-selected using quantized index, and then re-scored using original vectors.

For example, if oversampling is 2.4 and limit is 100, then 240 vectors will be pre-selected using quantized index, and then top-100 will be returned after re-scoring. |

Query

Field	Type	Description
nearest	VectorInput	Find the nearest neighbors to this vector.
recommend	RecommendInput	Use multiple positive and negative vectors to find the results.
discover	DiscoverInput	Search for nearest points, but constrain the search space with context
context	ContextInput	Return points that live in positive areas.
order_by	OrderBy	Order the points by a payload field.
fusion	Fusion	Fuse the results of multiple prefetches.
sample	Sample	Sample points from the collection.
formula	Formula	Score boosting via an arbitrary formula
nearest_with_mmr	NearestInputWithMmr	Search nearest neighbors, but re-rank based on the Maximal Marginal Relevance algorithm.
rrf	Rrf	Parameterized reciprocal rank fusion

QueryBatchPoints

Field	Type	Label	Description
collection_name	string
query_points	QueryPoints	repeated
read_consistency	ReadConsistency	optional	Options for specifying read consistency guarantees
timeout	uint64	optional	If set, overrides global timeout setting for this request. Unit is seconds.

QueryBatchResponse

Field	Type	Label	Description
result	BatchResult	repeated
time	double		Time spent to process
usage	Usage	optional

QueryGroupsResponse

Field	Type	Label	Description
result	GroupsResult
time	double		Time spent to process
usage	Usage	optional

QueryPointGroups

Field	Type	Label	Description
collection_name	string		Name of the collection
prefetch	PrefetchQuery	repeated	Sub-requests to perform first. If present, the query will be performed on the results of the prefetches.
query	Query	optional	Query to perform. If missing, returns points ordered by their IDs.
using	string	optional	Define which vector to use for querying. If missing, the default vector is used.
filter	Filter	optional	Filter conditions - return only those points that satisfy the specified conditions.
params	SearchParams	optional	Search params for when there is no prefetch.
score_threshold	float	optional	Return points with scores better than this threshold.
with_payload	WithPayloadSelector		Options for specifying which payload to include or not
with_vectors	WithVectorsSelector	optional	Options for specifying which vectors to include into response
lookup_from	LookupLocation	optional	The location to use for IDs lookup, if not specified - use the current collection and the 'using' vector
limit	uint64	optional	Max number of points. Default is 3.
group_size	uint64	optional	Maximum amount of points to return per group. Default to 10.
group_by	string		Payload field to group by, must be a string or number field. If there are multiple values for the field, all of them will be used. One point can be in multiple groups.
read_consistency	ReadConsistency	optional	Options for specifying read consistency guarantees
with_lookup	WithLookup	optional	Options for specifying how to use the group id to lookup points in another collection
timeout	uint64	optional	If set, overrides global timeout setting for this request. Unit is seconds.
shard_key_selector	ShardKeySelector	optional	Specify in which shards to look for the points, if not specified - look in all shards

QueryPoints

Field	Type	Label	Description
collection_name	string		Name of the collection
prefetch	PrefetchQuery	repeated	Sub-requests to perform first. If present, the query will be performed on the results of the prefetches.
query	Query	optional	Query to perform. If missing, returns points ordered by their IDs.
using	string	optional	Define which vector to use for querying. If missing, the default vector is used.
filter	Filter	optional	Filter conditions - return only those points that satisfy the specified conditions.
params	SearchParams	optional	Search params for when there is no prefetch.
score_threshold	float	optional	Return points with scores better than this threshold.
limit	uint64	optional	Max number of points. Default is 10.
offset	uint64	optional	Offset of the result. Skip this many points. Default is 0.
with_vectors	WithVectorsSelector	optional	Options for specifying which vectors to include into the response.
with_payload	WithPayloadSelector	optional	Options for specifying which payload to include or not.
read_consistency	ReadConsistency	optional	Options for specifying read consistency guarantees.
shard_key_selector	ShardKeySelector	optional	Specify in which shards to look for the points, if not specified - look in all shards.
lookup_from	LookupLocation	optional	The location to use for IDs lookup, if not specified - use the current collection and the 'using' vector
timeout	uint64	optional	If set, overrides global timeout setting for this request. Unit is seconds.

QueryResponse

Field	Type	Label	Description
result	ScoredPoint	repeated
time	double		Time spent to process
usage	Usage	optional

Range

Field	Type	Label
lt	double	optional
gt	double	optional
gte	double	optional
lte	double	optional

ReadConsistency

Field	Type	Label	Description
type	ReadConsistencyType		Common read consistency configurations
factor	uint64		Send request to a specified number of nodes, and return points which are present on all of them

RecommendBatchPoints

Field	Type	Label	Description
collection_name	string		Name of the collection
recommend_points	RecommendPoints	repeated
read_consistency	ReadConsistency	optional	Options for specifying read consistency guarantees
timeout	uint64	optional	If set, overrides global timeout setting for this request. Unit is seconds.

RecommendBatchResponse

Field	Type	Label	Description
result	BatchResult	repeated
time	double		Time spent to process
usage	Usage	optional

RecommendGroupsResponse

Field	Type	Label	Description
result	GroupsResult
time	double		Time spent to process
usage	Usage	optional

RecommendInput

Field	Type	Label	Description
positive	VectorInput	repeated	Look for vectors closest to the vectors from these points
negative	VectorInput	repeated	Try to avoid vectors like the vector from these points
strategy	RecommendStrategy	optional	How to use the provided vectors to find the results

RecommendPointGroups

Field	Type	Label	Description
collection_name	string		Name of the collection
positive	PointId	repeated	Look for vectors closest to the vectors from these points
negative	PointId	repeated	Try to avoid vectors like the vector from these points
filter	Filter		Filter conditions - return only those points that satisfy the specified conditions
limit	uint32		Max number of groups in result
with_payload	WithPayloadSelector		Options for specifying which payload to include or not
params	SearchParams		Search config
score_threshold	float	optional	If provided - cut off results with worse scores
using	string	optional	Define which vector to use for recommendation, if not specified - default vector
with_vectors	WithVectorsSelector	optional	Options for specifying which vectors to include into response
lookup_from	LookupLocation	optional	Name of the collection to use for points lookup, if not specified - use current collection
group_by	string		Payload field to group by, must be a string or number field. If there are multiple values for the field, all of them will be used. One point can be in multiple groups.
group_size	uint32		Maximum amount of points to return per group
read_consistency	ReadConsistency	optional	Options for specifying read consistency guarantees
with_lookup	WithLookup	optional	Options for specifying how to use the group id to lookup points in another collection
strategy	RecommendStrategy	optional	How to use the example vectors to find the results
positive_vectors	Vector	repeated	Look for vectors closest to those
negative_vectors	Vector	repeated	Try to avoid vectors like this
timeout	uint64	optional	If set, overrides global timeout setting for this request. Unit is seconds.
shard_key_selector	ShardKeySelector	optional	Specify in which shards to look for the points, if not specified - look in all shards

RecommendPoints

Field	Type	Label	Description
collection_name	string		name of the collection
positive	PointId	repeated	Look for vectors closest to the vectors from these points
negative	PointId	repeated	Try to avoid vectors like the vector from these points
filter	Filter		Filter conditions - return only those points that satisfy the specified conditions
limit	uint64		Max number of result
with_payload	WithPayloadSelector		Options for specifying which payload to include or not
params	SearchParams		Search config
score_threshold	float	optional	If provided - cut off results with worse scores
offset	uint64	optional	Offset of the result
using	string	optional	Define which vector to use for recommendation, if not specified - default vector
with_vectors	WithVectorsSelector	optional	Options for specifying which vectors to include into response
lookup_from	LookupLocation	optional	Name of the collection to use for points lookup, if not specified - use current collection
read_consistency	ReadConsistency	optional	Options for specifying read consistency guarantees
strategy	RecommendStrategy	optional	How to use the example vectors to find the results
positive_vectors	Vector	repeated	Look for vectors closest to those
negative_vectors	Vector	repeated	Try to avoid vectors like this
timeout	uint64	optional	If set, overrides global timeout setting for this request. Unit is seconds.
shard_key_selector	ShardKeySelector	optional	Specify in which shards to look for the points, if not specified - look in all shards

RecommendResponse

Field	Type	Label	Description
result	ScoredPoint	repeated
time	double		Time spent to process
usage	Usage	optional

RepeatedIntegers

Field	Type	Label	Description
integers	int64	repeated

RepeatedStrings

Field	Type	Label	Description
strings	string	repeated

RetrievedPoint

Field	Type	Label	Description
id	PointId
payload	RetrievedPoint.PayloadEntry	repeated
vectors	VectorsOutput	optional
shard_key	ShardKey	optional	Shard key
order_value	OrderValue	optional	Order-by value

RetrievedPoint.PayloadEntry

Field	Type	Label	Description
key	string
value	Value

Rrf

Parameterized reciprocal rank fusion

Field	Type	Label	Description
k	uint32	optional	K parameter for reciprocal rank fusion

ScoredPoint

Field	Type	Label	Description
id	PointId		Point id
payload	ScoredPoint.PayloadEntry	repeated	Payload
score	float		Similarity score
version	uint64		Last update operation applied to this point
vectors	VectorsOutput	optional	Vectors to search
shard_key	ShardKey	optional	Shard key
order_value	OrderValue	optional	Order by value

ScoredPoint.PayloadEntry

Field	Type	Label	Description
key	string
value	Value

ScrollPoints

Field	Type	Label	Description
collection_name	string
filter	Filter		Filter conditions - return only those points that satisfy the specified conditions
offset	PointId	optional	Start with this ID
limit	uint32	optional	Max number of result
with_payload	WithPayloadSelector		Options for specifying which payload to include or not
with_vectors	WithVectorsSelector	optional	Options for specifying which vectors to include into response
read_consistency	ReadConsistency	optional	Options for specifying read consistency guarantees
shard_key_selector	ShardKeySelector	optional	Specify in which shards to look for the points, if not specified - look in all shards
order_by	OrderBy	optional	Order the records by a payload field
timeout	uint64	optional	If set, overrides global timeout setting for this request. Unit is seconds.

ScrollResponse

Field	Type	Label	Description
next_page_offset	PointId	optional	Use this offset for the next query
result	RetrievedPoint	repeated
time	double		Time spent to process
usage	Usage	optional

SearchBatchPoints

Field	Type	Label	Description
collection_name	string		Name of the collection
search_points	SearchPoints	repeated
read_consistency	ReadConsistency	optional	Options for specifying read consistency guarantees
timeout	uint64	optional	If set, overrides global timeout setting for this request. Unit is seconds.

SearchBatchResponse

Field	Type	Label	Description
result	BatchResult	repeated
time	double		Time spent to process
usage	Usage	optional

SearchGroupsResponse

Field	Type	Label	Description
result	GroupsResult
time	double		Time spent to process
usage	Usage	optional

SearchMatrixOffsets

Field	Type	Label	Description
offsets_row	uint64	repeated	Row indices of the matrix
offsets_col	uint64	repeated	Column indices of the matrix
scores	float	repeated	Scores associated with matrix coordinates
ids	PointId	repeated	Ids of the points in order

SearchMatrixOffsetsResponse

Field	Type	Label	Description
result	SearchMatrixOffsets
time	double		Time spent to process
usage	Usage	optional

SearchMatrixPair

Field	Type	Description
a	PointId	first id of the pair
b	PointId	second id of the pair
score	float	score of the pair

SearchMatrixPairs

Field	Type	Label	Description
pairs	SearchMatrixPair	repeated	List of pairs of points with scores

SearchMatrixPairsResponse

Field	Type	Label	Description
result	SearchMatrixPairs
time	double		Time spent to process
usage	Usage	optional

SearchMatrixPoints

Field	Type	Label	Description
collection_name	string		Name of the collection
filter	Filter	optional	Filter conditions - return only those points that satisfy the specified conditions.
sample	uint64	optional	How many points to select and search within. Default is 10.
limit	uint64	optional	How many neighbours per sample to find. Default is 3.
using	string	optional	Define which vector to use for querying. If missing, the default vector is is used.
timeout	uint64	optional	If set, overrides global timeout setting for this request. Unit is seconds.
read_consistency	ReadConsistency	optional	Options for specifying read consistency guarantees
shard_key_selector	ShardKeySelector	optional	Specify in which shards to look for the points, if not specified - look in all shards

SearchParams

Field	Type	Label	Description
hnsw_ef	uint64	optional	Params relevant to HNSW index. Size of the beam in a beam-search. Larger the value - more accurate the result, more time required for search.
exact	bool	optional	Search without approximation. If set to true, search may run long but with exact results.
quantization	QuantizationSearchParams	optional	If set to true, search will ignore quantized vector data
indexed_only	bool	optional	If enabled, the engine will only perform search among indexed or small segments. Using this option prevents slow searches in case of delayed index, but does not guarantee that all uploaded vectors will be included in search results

SearchPointGroups

Field	Type	Label	Description
collection_name	string		Name of the collection
vector	float	repeated	Vector to compare against
filter	Filter		Filter conditions - return only those points that satisfy the specified conditions
limit	uint32		Max number of result
with_payload	WithPayloadSelector		Options for specifying which payload to include or not
params	SearchParams		Search config
score_threshold	float	optional	If provided - cut off results with worse scores
vector_name	string	optional	Which vector to use for search, if not specified - use default vector
with_vectors	WithVectorsSelector	optional	Options for specifying which vectors to include into response
group_by	string		Payload field to group by, must be a string or number field. If there are multiple values for the field, all of them will be used. One point can be in multiple groups.
group_size	uint32		Maximum amount of points to return per group
read_consistency	ReadConsistency	optional	Options for specifying read consistency guarantees
with_lookup	WithLookup	optional	Options for specifying how to use the group id to lookup points in another collection
timeout	uint64	optional	If set, overrides global timeout setting for this request. Unit is seconds.
shard_key_selector	ShardKeySelector	optional	Specify in which shards to look for the points, if not specified - look in all shards
sparse_indices	SparseIndices	optional

SearchPoints

Field	Type	Label	Description
collection_name	string		name of the collection
vector	float	repeated	vector
filter	Filter		Filter conditions - return only those points that satisfy the specified conditions
limit	uint64		Max number of result
with_payload	WithPayloadSelector		Options for specifying which payload to include or not
params	SearchParams		Search config
score_threshold	float	optional	If provided - cut off results with worse scores
offset	uint64	optional	Offset of the result
vector_name	string	optional	Which vector to use for search, if not specified - use default vector
with_vectors	WithVectorsSelector	optional	Options for specifying which vectors to include into response
read_consistency	ReadConsistency	optional	Options for specifying read consistency guarantees
timeout	uint64	optional	If set, overrides global timeout setting for this request. Unit is seconds.
shard_key_selector	ShardKeySelector	optional	Specify in which shards to look for the points, if not specified - look in all shards
sparse_indices	SparseIndices	optional

SearchResponse

Field	Type	Label	Description
result	ScoredPoint	repeated
time	double		Time spent to process
usage	Usage	optional

SetPayloadPoints

Field	Type	Label	Description
collection_name	string		name of the collection
wait	bool	optional	Wait until the changes have been applied?
payload	SetPayloadPoints.PayloadEntry	repeated	New payload values
points_selector	PointsSelector	optional	Affected points
ordering	WriteOrdering	optional	Write ordering guarantees
shard_key_selector	ShardKeySelector	optional	Option for custom sharding to specify used shard keys
key	string	optional	Option for indicate property of payload

SetPayloadPoints.PayloadEntry

Field	Type	Label	Description
key	string
value	Value

ShardKeySelector

Field	Type	Label	Description
shard_keys	ShardKey	repeated	List of shard keys which should be used in the request

SparseIndices

Field	Type	Label	Description
data	uint32	repeated

SparseVector

Field	Type	Label	Description
values	float	repeated
indices	uint32	repeated

StartFrom

Field	Type	Label	Description
float	double
integer	int64
timestamp	google.protobuf.Timestamp
datetime	string

SumExpression

Field	Type	Label	Description
sum	Expression	repeated

TargetVector

Field	Type	Label	Description
single	VectorExample

UpdateBatchPoints

Field	Type	Label	Description
collection_name	string		name of the collection
wait	bool	optional	Wait until the changes have been applied?
operations	PointsUpdateOperation	repeated
ordering	WriteOrdering	optional	Write ordering guarantees

UpdateBatchResponse

Field	Type	Label	Description
result	UpdateResult	repeated
time	double		Time spent to process
usage	Usage	optional

UpdatePointVectors

Field	Type	Label	Description
collection_name	string		name of the collection
wait	bool	optional	Wait until the changes have been applied?
points	PointVectors	repeated	List of points and vectors to update
ordering	WriteOrdering	optional	Write ordering guarantees
shard_key_selector	ShardKeySelector	optional	Option for custom sharding to specify used shard keys
update_filter	Filter	optional	If specified, only points that match this filter will be updated

UpdateResult

Field	Type	Label	Description
operation_id	uint64	optional	Number of operation
status	UpdateStatus		Operation status

UpsertPoints

Field	Type	Label	Description
collection_name	string		name of the collection
wait	bool	optional	Wait until the changes have been applied?
points	PointStruct	repeated
ordering	WriteOrdering	optional	Write ordering guarantees
shard_key_selector	ShardKeySelector	optional	Option for custom sharding to specify used shard keys
update_filter	Filter	optional	If specified, only points that match this filter will be updated, others will be inserted

Usage

----------- Measurements collector ----------

Field	Type	Label	Description
hardware	HardwareUsage	optional
inference	InferenceUsage	optional

ValuesCount

Field	Type	Label
lt	uint64	optional
gt	uint64	optional
gte	uint64	optional
lte	uint64	optional

Vector

Legacy vector format, which determines the vector type by the configuration of its fields.

Field	Type	Label	Description
data	float	repeated	Vector data (flatten for multi vectors), deprecated
indices	SparseIndices	optional	Sparse indices for sparse vectors, deprecated
vectors_count	uint32	optional	Number of vectors per multi vector, deprecated
dense	DenseVector		Dense vector
sparse	SparseVector		Sparse vector
multi_dense	MultiDenseVector		Multi dense vector
document	Document
image	Image
object	InferenceObject

VectorExample

Field	Type	Label	Description
id	PointId
vector	Vector

VectorInput

Vector type to be used in queries. Ids will be substituted with their corresponding vectors from the collection.

Field	Type	Label	Description
id	PointId
dense	DenseVector
sparse	SparseVector
multi_dense	MultiDenseVector
document	Document
image	Image
object	InferenceObject

VectorOutput

Field	Type	Label	Description
data	float	repeated	Vector data (flatten for multi vectors), deprecated
indices	SparseIndices	optional	Sparse indices for sparse vectors, deprecated
vectors_count	uint32	optional	Number of vectors per multi vector, deprecated
dense	DenseVector		Dense vector
sparse	SparseVector		Sparse vector
multi_dense	MultiDenseVector		Multi dense vector

Vectors

Field	Type	Label	Description
vector	Vector
vectors	NamedVectors

VectorsOutput

Field	Type	Label	Description
vector	VectorOutput
vectors	NamedVectorsOutput

VectorsSelector

Field	Type	Label	Description
names	string	repeated	List of vectors to include into result

WithLookup

Field	Type	Label	Description
collection	string		Name of the collection to use for points lookup
with_payload	WithPayloadSelector	optional	Options for specifying which payload to include (or not)
with_vectors	WithVectorsSelector	optional	Options for specifying which vectors to include (or not)

WithPayloadSelector

Field	Type	Description
enable	bool	If `true` - return all payload, if `false` - none
include	PayloadIncludeSelector
exclude	PayloadExcludeSelector

WithVectorsSelector

Field	Type	Label	Description
enable	bool		If `true` - return all vectors, if `false` - none
include	VectorsSelector		List of payload keys to include into result

WriteOrdering

Field	Type	Label	Description
type	WriteOrderingType		Write ordering guarantees

Direction

Name	Number	Description
Asc	0
Desc	1

FieldType

Name	Number	Description
FieldTypeKeyword	0
FieldTypeInteger	1
FieldTypeFloat	2
FieldTypeGeo	3
FieldTypeText	4
FieldTypeBool	5
FieldTypeDatetime	6
FieldTypeUuid	7

Fusion

Name	Number	Description
RRF	0	Reciprocal Rank Fusion (with default parameters)
DBSF	1	Distribution-Based Score Fusion

ReadConsistencyType

Name	Number	Description
All	0	Send request to all nodes and return points which are present on all of them
Majority	1	Send requests to all nodes and return points which are present on majority of them
Quorum	2	Send requests to half + 1 nodes, return points which are present on all of them

RecommendStrategy

How to use positive and negative vectors to find the results, default is AverageVector.

Name	Number	Description
AverageVector	0	Average positive and negative vectors and create a single query with the formula `query = avg_pos + avg_pos - avg_neg`. Then performs normal search.
BestScore	1	Uses custom search objective. Each candidate is compared against all examples, its score is then chosen from the `max(max_pos_score, max_neg_score)`. If the `max_neg_score` is chosen then it is squared and negated.
SumScores	2	Uses custom search objective. Compares against all inputs, sums all the scores. Scores against positive vectors are added, against negatives are subtracted.

Sample

Sample points from the collection

Available sampling methods:

random - Random sampling

Name	Number	Description
Random	0

UpdateStatus

Name	Number	Description
UnknownUpdateStatus	0
Acknowledged	1	Update is received, but not processed yet
Completed	2	Update is applied and ready for search
ClockRejected	3	Internal: update is rejected due to an outdated clock

WriteOrderingType

Name	Number	Description
Weak	0	Write operations may be reordered, works faster, default
Medium	1	Write operations go through dynamically selected leader, may be inconsistent for a short period of time in case of leader change
Strong	2	Write operations go through the permanent leader, consistent, but may be unavailable if leader is down

Top

points_service.proto

Points

Method Name	Request Type	Response Type	Description
Upsert	UpsertPoints	PointsOperationResponse	Perform insert + updates on points. If a point with a given ID already exists - it will be overwritten.
Delete	DeletePoints	PointsOperationResponse	Delete points
Get	GetPoints	GetResponse	Retrieve points
UpdateVectors	UpdatePointVectors	PointsOperationResponse	Update named vectors for point
DeleteVectors	DeletePointVectors	PointsOperationResponse	Delete named vectors for points
SetPayload	SetPayloadPoints	PointsOperationResponse	Set payload for points
OverwritePayload	SetPayloadPoints	PointsOperationResponse	Overwrite payload for points
DeletePayload	DeletePayloadPoints	PointsOperationResponse	Delete specified key payload for points
ClearPayload	ClearPayloadPoints	PointsOperationResponse	Remove all payload for specified points
CreateFieldIndex	CreateFieldIndexCollection	PointsOperationResponse	Create index for field in collection
DeleteFieldIndex	DeleteFieldIndexCollection	PointsOperationResponse	Delete field index for collection
Search	SearchPoints	SearchResponse	Retrieve closest points based on vector similarity and given filtering conditions
SearchBatch	SearchBatchPoints	SearchBatchResponse	Retrieve closest points based on vector similarity and given filtering conditions
SearchGroups	SearchPointGroups	SearchGroupsResponse	Retrieve closest points based on vector similarity and given filtering conditions, grouped by a given field
Scroll	ScrollPoints	ScrollResponse	Iterate over all or filtered points
Recommend	RecommendPoints	RecommendResponse	Look for the points which are closer to stored positive examples and at the same time further to negative examples.
RecommendBatch	RecommendBatchPoints	RecommendBatchResponse	Look for the points which are closer to stored positive examples and at the same time further to negative examples.
RecommendGroups	RecommendPointGroups	RecommendGroupsResponse	Look for the points which are closer to stored positive examples and at the same time further to negative examples, grouped by a given field
Discover	DiscoverPoints	DiscoverResponse	Use context and a target to find the most similar points to the target, constrained by the context.

When using only the context (without a target), a special search - called context search - is performed where pairs of points are used to generate a loss that guides the search towards the zone where most positive examples overlap. This means that the score minimizes the scenario of finding a point closer to a negative than to a positive part of a pair.

Since the score of a context relates to loss, the maximum score a point can get is 0.0, and it becomes normal that many points can have a score of 0.0.

When using target (with or without context), the score behaves a little different: The integer part of the score represents the rank with respect to the context, while the decimal part of the score relates to the distance to the target. The context part of the score for each pair is calculated +1 if the point is closer to a positive than to a negative part of a pair, and -1 otherwise. | | DiscoverBatch | DiscoverBatchPoints | DiscoverBatchResponse | Batch request points based on { positive, negative } pairs of examples, and/or a target | | Count | CountPoints | CountResponse | Count points in collection with given filtering conditions | | UpdateBatch | UpdateBatchPoints | UpdateBatchResponse | Perform multiple update operations in one request | | Query | QueryPoints | QueryResponse | Universally query points. This endpoint covers all capabilities of search, recommend, discover, filters. But also enables hybrid and multi-stage queries. | | QueryBatch | QueryBatchPoints | QueryBatchResponse | Universally query points in a batch fashion. This endpoint covers all capabilities of search, recommend, discover, filters. But also enables hybrid and multi-stage queries. | | QueryGroups | QueryPointGroups | QueryGroupsResponse | Universally query points in a group fashion. This endpoint covers all capabilities of search, recommend, discover, filters. But also enables hybrid and multi-stage queries. | | Facet | FacetCounts | FacetResponse | Perform facet counts. For each value in the field, count the number of points that have this value and match the conditions. | | SearchMatrixPairs | SearchMatrixPoints | SearchMatrixPairsResponse | Compute distance matrix for sampled points with a pair based output format | | SearchMatrixOffsets | SearchMatrixPoints | SearchMatrixOffsetsResponse | Compute distance matrix for sampled points with an offset based output format |

Top

qdrant.proto

HealthCheckReply

Field	Type	Label
title	string
version	string
commit	string	optional