* Fix edge sparse vector search panic on score postprocessing
The distance lookup for score postprocessing only checked dense vector
configs, causing a panic when searching sparse vectors. Fall back to
Distance::Dot for sparse vectors, matching the full server behavior.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* Fix formatting
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* Address PR review: return error instead of panic, fix example
- Replace panic! with OperationError::service_error for unknown vector
names in edge search, avoiding process crash on bad client input
- Update stale "panics" comments and add assertions in sparse-search example
Made-with: Cursor
---------
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Co-authored-by: Cursor Agent <agent@cursor.com>
* refactor(edge): split EdgeShard load into new() and load()
- new(path, config): create edge shard only when path has no existing segments
- load(path, config?): load from existing files; config optional (load from
edge_config.json or infer from segments)
- Helpers: has_existing_segments, ensure_dirs_and_open_wal, resolve_initial_config,
load_segments, ensure_appendable_segment
- Python: EdgeShard.create_new(path, config); __init__ still calls load()
- Examples use new() for creation and load(path, None) for reopen
- Error instead of panic on config mismatch; explicit load/create in Python
- fix: use OptimizerThresholds.deferred_internal_id for dev compatibility
Made-with: Cursor
* rollback threshold changes
* fix(edge): address dancixx review comments
- Persist inferred config in load() when edge_config.json does not exist
(SaveOnDisk::new only saves when file exists)
- Python: add #[new] delegating to load() for backward compatibility
- qdrant_edge.pyi: Optional return types for deleted_threshold,
vacuum_min_vector_number, default_segment_number; add __init__ doc
Made-with: Cursor
* Revert "fix(edge): address dancixx review comments"
This reverts commit 370e21a6c74c41210e1658f89814395cb86ed81c.
* fix: optional returns
* fix: save config it is not exist
* fix: save data on disk always
* fix: python examples
* chore: remove edge.close()
* fix: wal lock
* fix: rename of EdgeShardConfig -> EdgeConfig
---------
Co-authored-by: Cursor Agent <agent@cursor.com>
Co-authored-by: Andrey Vasnetsov <andrey@vasnetsov.com>
Co-authored-by: Daniel Boros <dancixx@gmail.com>
* refactor(edge): let edge re-export segment/shard/sparse
* chore(ast-grep-rules): handle path like `::shard::blah::Blah`
This commit was required during the refactoring. It turns out we don't
need it right now, but it might be useful in the future. Or not.
* refactor(edge-rs): Rehaul public API
* lib/edge/publish/cargo: improve target directory discovery
Don't hardcode workspace root, ask cargo instead.
* Fix warning in qdrant-edge amalgamation
`cargo check` in `lib/edge/publish` produces the following warning:
warning: type `PointerUpdates` is more private than the item `gridstore::tracker::Tracker::<S>::write_pending`
* lib/edge/publish/examples: fix compiler warnings
* refactor: lib/edge/publish/examples: put DATA_DIRECTORY into lib.rs
To match python examples that have the same constant in `common.py`.
* Use `lib/edge/data` dir for both Python and Rust examples
Before this commit, `lib/edge/publish/data` and `lib/edge/python/data`
were used. I'd like Python and Rust to use the same prepared resources
in the future.
* ❗Add lib/edge/Justfile with recipes to build/run examples
I constantly keep forgetting how to compile and run edge stuff.
Also, this would be used in CI in subsequent commits.
* ❗doc: lib/edge/README.md: Combine Rust and Python Edge readmes
Also now we can rename `creates-io-readme.md` to `README.md` like
reasonable people.
* ❗doc: Add qdrant-edge-py README.md
Since the previous commit removed qdrant-edge-py README.md, we need to
add something in its place instead.
The new README is adapted from Rust edge README.
And the previous README wasn't good anyway, see [1], it mentions maturin
which is irrelevant for users.
[1]: https://pypi.org/project/qdrant-edge-py/0.5.0/
* GHA: Add "Setup Qdrant" composite action
We need running Qdrant instance to test edge examples on CI. We can't
use docker for this because we want to run tests on Windows and macOS.
OTOH, this action downloads binaries for all platforms provided in
https://github.com/qdrant/qdrant/releases/tag/v1.17.0
* ❗GHA: Use single worflow for python and rust edge examples
Merge workflows to reuse build cache. Also, modernize it by using `uv`,
and recently introduced `setup-qdrant` and Justfile. Also, make it run
on three platforms (only on merges).
* ❗GHA: edge-{py,rust}-release: also run examples before publishing
Use similar approach as in the previous commit. But note that this time
we build/test also on ARM Linux and Windows.
* Introduce EdgeShardConfig for edge shard
- Add EdgeShardConfig and EdgeOptimizersConfig in lib/edge/src/config.rs
- Segment config (vector_data, sparse_vector_data, payload_storage_type)
- Global hnsw_config and per-vector HNSW in segment config
- Optimizer params: deleted_threshold, vacuum_min_vector_number,
default_segment_number, max_segment_size, indexing_threshold,
prevent_unoptimized (excludes memmap_threshold, flush_interval_sec,
max_optimization_threads)
- Persist/load as edge_config.json in shard path
- EdgeShard uses RwLock<EdgeShardConfig>; load() accepts Option<EdgeShardConfig>,
falls back to file or infer from segments; compatibility checked on load
- load_with_segment_config() for backward compatibility (SegmentConfig -> EdgeShardConfig)
- optimize() uses EdgeShardConfig for hnsw and optimizer thresholds
- Public methods: set_hnsw_config(), set_vector_hnsw_config(), set_optimizers_config()
(update and persist)
- Python and examples use load_with_segment_config with existing config API
Made-with: Cursor
* Refactor EdgeShardConfig: user-facing params only, config module
- Replace SegmentConfig inside EdgeShardConfig with user-facing fields:
- on_disk_payload (bool) instead of payload_storage_type
- vectors: HashMap<VectorNameBuf, EdgeVectorParams> with on_disk per vector,
no per-vector quantization; global quantization_config only
- sparse_vectors: HashMap<VectorNameBuf, EdgeSparseVectorParams> with on_disk
- EdgeVectorParams / EdgeSparseVectorParams use on_disk (bool) instead of
storage_type; conversion to VectorDataConfig/SparseVectorDataConfig in
to_segment_config()
- Add config module: mod.rs, optimizers.rs, vectors.rs, shard.rs
- from_segment_config(&SegmentConfig) fills all inferrable params
- to_segment_config() builds SegmentConfig for segments and optimize()
- load_with_segment_config takes Option<SegmentConfig>, uses from_segment_config
Made-with: Cursor
* Move optimizer threshold helpers to shard crate
- Add get_number_segments, get_indexing_threshold_kb, get_max_segment_size_kb,
get_deferred_points_threshold_bytes in shard::optimizers::config
- Collection OptimizersConfig and edge EdgeOptimizersConfig delegate to these
- Single place for threshold logic; collection and edge use shard helpers
Made-with: Cursor
* Use destructuring in config conversions to avoid missing new fields
- EdgeVectorParams: destructure VectorDataConfig in from_*, destructure self in to_vector_data_config
- EdgeSparseVectorParams: destructure SparseVectorDataConfig and SparseIndexConfig in from_*, destructure self in to_sparse_vector_data_config
- EdgeShardConfig: destructure SegmentConfig in from_segment_config, destructure self in to_segment_config
Adding new fields to source structs will now cause compile errors until conversions are updated.
Made-with: Cursor
* refactor: centralize on_disk_payload→payload_storage_type, on_disk→storage_type, and appendable quantization logic
- PayloadStorageType::from_on_disk_payload(bool) in segment (Mmap/InRamMmap)
- VectorStorageType::from_on_disk(bool) in segment (ChunkedMmap/InRamChunkedMmap)
- QuantizationConfig::for_appendable_segment(Option<&Self>) in segment (feature flag + supports_appendable)
- collection: use from_on_disk_payload in non-rocksdb branch
- edge shard/vectors: use new helpers; remove duplicated conditionals
- shard optimizers: use from_on_disk and for_appendable_segment
Made-with: Cursor
* refactor(edge): use EdgeShardConfig directly, drop segment_config
- Add plain_segment_config() for create_appendable_segment (no HNSW)
- Add segment_optimizer_config() built from EdgeShardConfig for blocking optimizers
- Add vector_data_config(name) for query/MMR
- build_blocking_optimizers: use segment_optimizer_config() instead of SegmentConfig
- create_appendable_segment: use plain_segment_config()
- search/query: use config().vectors and vector_data_config() instead of segment_config()
- Remove segment_config() from EdgeShardConfig and EdgeShard
- Add to_plain_vector_data_config on EdgeVectorParams
Made-with: Cursor
* [manual] review changes
* refactor(edge-py): wrap EdgeShardConfig, add EdgeVectorParams/EdgeSparseVectorParams
- PyEdgeConfig now wraps EdgeShardConfig (vectors, sparse_vectors, on_disk_payload, etc.)
- PyEdgeVectorParams / PyEdgeSparseVectorParams wrap edge config types
- PyEdgeOptimizersConfig for optional optimizer settings
- EdgeShard.load() uses EdgeShardConfig; edge::config made pub for Python crate
- cargo fmt + clippy (remove map_identity)
Made-with: Cursor
* refactor(edge-py): simplify config API, remove unused Py* types, add EdgeConfig
- Remove unused PyPayloadStorageType, PyVectorDataConfig, PyVectorStorageType,
PySparseVectorDataConfig, PySparseVectorStorageType from Python bindings
- Move PyEdgeOptimizersConfig to lib/edge/python/src/config/optimizers.rs
- Update qdrant_edge.pyi: EdgeConfig with vectors/sparse_vectors,
EdgeVectorParams, EdgeSparseVectorParams, EdgeOptimizersConfig
- Update examples (common.py, repr.py) to use new config API
- Run cargo fmt
Made-with: Cursor
* [manual] review changes
* [manual] review changes
* [manual] fix test
* Address CodeRabbit review comments for PR 8322 (#8324)
* Address CodeRabbit review comments for PR 8322
- Python examples: explicit imports (repr.py, common.py) and new EdgeConfig API
- HnswIndexConfig: add max_indexing_threads param and property in .pyi and Rust bindings
- EdgeConfig: make vectors optional for sparse-only configs; validate at least one of vectors/sparse_vectors
- EdgeShardConfig::load: use try_exists(), propagate I/O errors
- from_segment_config: infer hnsw_config from per-vector HNSW when all agree
- EdgeShard setters: atomic clone-mutate-save-then-replace; persist config save errors
- Segment compat: prefix vector name in error messages; resolve None datatype to Float32
- max_indexing_threads: preserve 0 (auto) sentinel in trait default; remove per-optimizer overrides
- SegmentOptimizerConfig:🆕 build plain and optimizer maps in single pass
- config_mismatch_optimizer tests: use VectorNameBuf::from() instead of .into()
- vectors.rs: doc updates for per-vector quantization
Made-with: Cursor
* Address @generall review: SaveOnDisk for config, resolve num_rayon_threads in optimizer
- Use SaveOnDisk<EdgeShardConfig> for EdgeShard config (generall: 'We have SaveOnDisk struct for this')
- Create via SaveOnDisk::new() after resolving config; setters use .write() for atomic persist
- set_vector_hnsw_config: clone then mutate then write (fallible setter)
- max_indexing_threads: resolve 0 (auto) via num_rayon_threads inside impl (generall: 'proper solution would be to resolve num_rayon_threads inside the optimizer impl')
- max_indexing_threads_sentinel_aware() now returns Some(num_rayon_threads(raw)) so callers get actual thread count
Made-with: Cursor
* [manual] reorganize num_rayon_threads -> get_num_indexing_threads to better account per-vector configuration
---------
Co-authored-by: Cursor Agent <agent@cursor.com>
Co-authored-by: generall <andrey@vasnetsov.com>
* update docstring and pyi
* fmt
* fmt
* clipy
---------
Co-authored-by: Cursor Agent <agent@cursor.com>
Co-authored-by: generall <andrey@vasnetsov.com>
* amalgamate.py: replace `env!("CARGO_PKG_VERSION")`
Otherwise segment thinks it's v0.0.0 which breaks examples.
* Fix lib/edge/python/examples/repr.py
It it broken by d9393acac6 (#7933), which renamed `SegmentConfig` →
`EdgeConfig` and removed `index` parameter from `VectorDataConfig` by
hardcoding it to `Plain`.
Before:
$ python lib/edge/python/examples/repr.py
NameError: name 'SegmentConfig' is not defined
After:
$ python lib/edge/python/examples/repr.py
EdgeConfig(vector_data={"": VectorDataConfig(size=128, ...)}, ...)
* gitignore output of Rust edge examples
* Restore `lib/edge/python/examples/.gitignore`
I'm not sure why it's removed in 65312a1e82e6ae4d/#7522.
* Add `prepare_facet_snapshot.sh` for `facet_test.rs`
The script is based on steps mentioned in #8045.
* Remove `edge-cli.rs` example
It was added in 895318913afbad4a/#7140 and seems incomplete.
* Move `DenseVector`/`MultiDenseVector` from `api` to `segment`
* Move `OrderByInterface` from `api` to `segment`
Reason: it's used in `edge` which shouldn't depend on `api`.
* Make `shard` -> `api` dependency optional
* Remove `api` from the amalgamation
* Don't install protoc in edge Actions
* Fixups of amalgamator
Fix issues that break `qdrant-edge` build process:
- `use … as segment;` - this causes `ast-grep` rules to replace wrong
paths. So, rename to avoid collisions.
- `#[macro_use]` and `extern crate` required be in the top-level
`lib.rs`.
- `format!("…", crate::something::…)` - `ast-grep` can't fix paths
inside macros. Fixed by moving `crate::something::…` out of the macro.
* Add lib/edge/publish workspace and amalgamation script
* Move `lib/edge/examples` into `lib/edge/publish/` workspace
And fix them to use the generated `qdrant-edge` crate.
* Add github workflow
* Cleanup `qdrant-edge` public API
Removes empty modules. Checked by `cargo doc`.
* weighted rrf implementation
* test
* fmt
* fix edge
* validate number of sources and number of weights
* do not partial match
* upd schema
* review fixes
* update formula
* remove calcualtions from tests
* update comment, because AI have OCD
* fmt
* introduce update_mode parameter for upsert operation to control if we want to insert, update, or upsert
* add test
* upd dockstring
* require resharding once all peers have updated version
* use service error
* fix clippy again
* wait for same version before resharding in tests
* WIP: introduce new vector store type
* handling of InRamMmap
* fmt
* feature-flag
* fmt
* Use if else
Co-authored-by: Roman Titov <ffuugoo@users.noreply.github.com>
* Update lib/common/common/src/flags.rs
Co-authored-by: Tim Visée <tim+github@visee.me>
* also choose madvise for single-file in-ram-mmap
* simplify generics
* gpu fix
* fix bug
---------
Co-authored-by: Tim Visée <tim+github@visee.me>
Co-authored-by: Roman Titov <ffuugoo@users.noreply.github.com>
* Implement `__repr__` for `PyJsonPath`
* Implement `__repr__` for `PyFilter`
* Implement `__repr__` for `PyQuery`
* Implement `__repr__` for `PyQueryRequest`
* Implement `__repr__` for `PySearchRequest`
* Implement `__repr__` for `PyFilter` using `pyclass_repr` attribute
* Implement `__repr__` for `PyQuery` using `pyclass_repr` attribute
* Implement `__repr__` for `PyQueryRequest` using `pyclass_repr` attribute
* Implement `__repr__` for `PySearchRequest` using `pyclass_repr` attribute
* Refactor `PyUpdateOperation` constructors
* Add default parameters to `PyVectorDataConfig::new`
* Add `Repr` trait and `WriteExt` helper
* Implement `__repr__` for config types
* fixup! Implement `__repr__` for config types
Use `Copy` instead of `Clone`
* fixup! Implement `__repr__` for config types
Add basic test
* Implement `__repr__` for `PyPointId`
* Implement `__repr__` for `PyVector`
* Implement `__repr__` for `PyVectorInternal`
* Implement `__repr__` for `PyPayload`
* Implement `__repr__` for `PyValue`
* Implement `__repr__` for `PyPoint`
* Implement `__repr__` for `PyPointVectors`
* Implement `__repr__` for `PyRecord`
* Move `PyScoredPoint` into a separate file
* Implement `__repr__` for `PyScoredPoint`
* Cleanup examples
* fixup! Implement `__repr__` for `PyScoredPoint`
* Move `PyOrderValue` into separate file
* Add `PyScoredPoint::order_value`
* Implement `pyclass_repr` proc-macro attribute
* Implement `__repr__` for config types using `pyclass_repr` attribute
* Implement `__repr__` for `PySparseVector` using `pyclass_repr` attribute
* Implement `__repr__` for `PyPoint` using `pyclass_repr` attribute
* Implement `__repr__` for `PyPointVectors` using `pyclass_repr` attribute
* Implement `__repr__` for `PyRecord` using `pyclass_repr` attribute
* Implement `__repr__` for `PyScoredPoint` using `pyclass_repr` attribute
* Minor fixes and cleanups
* fixup! Minor fixes and cleanups
* rollback copy for quantization config
* rollback copy for quantization config
---------
Co-authored-by: generall <andrey@vasnetsov.com>
