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Remove multitask models list (#945)

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* new: remove multitask embedding list

* new: update fastembed
This commit is contained in:
George
2025-04-15 16:43:06 +03:00
committed by George Panchuk
parent c1651be0dd
commit 05b1251a94
7 changed files with 178 additions and 207 deletions
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poetry.lock generated
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@@ -603,21 +603,21 @@ tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipyth
[[package]]
name = "fastembed"
version = "0.5.1"
version = "0.6.1"
description = "Fast, light, accurate library built for retrieval embedding generation"
optional = true
python-versions = ">=3.9.0"
groups = ["main"]
markers = "extra == \"fastembed\""
files = [
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{file = "fastembed-0.5.1.tar.gz", hash = "sha256:93ccdbead9daadde6af37862c53b92fd15fa3115d20bbddb258faa0a5eb36718"},
{file = "fastembed-0.6.1-py3-none-any.whl", hash = "sha256:89bfe07d3e12ae84474f0c85a6416ffbded25c72af43ac7ebf39acf309046044"},
{file = "fastembed-0.6.1.tar.gz", hash = "sha256:9c69ce389700eaa267eb9f488ecced94273d973be3fa933e6a9f807df3da5d96"},
]
[package.dependencies]
huggingface-hub = ">=0.20,<1.0"
loguru = ">=0.7.2,<0.8.0"
mmh3 = ">=4.1.0,<5.0.0"
mmh3 = ">=4.1.0,<6.0.0"
numpy = [
{version = ">=2.1.0", markers = "python_version >= \"3.13\""},
{version = ">=1.21,<2.1.0", markers = "python_version < \"3.10\""},
@@ -629,7 +629,7 @@ onnxruntime = [
{version = ">=1.17.0,<1.20.0", markers = "python_version < \"3.10\""},
{version = ">=1.17.0,<1.20.0 || >1.20.0", markers = "python_version >= \"3.10\" and python_version < \"3.13\""},
]
pillow = ">=10.3.0,<11.0.0"
pillow = ">=10.3.0,<12.0.0"
py-rust-stemmers = ">=0.1.0,<0.2.0"
requests = ">=2.31,<3.0"
tokenizers = ">=0.15,<1.0"
@@ -637,21 +637,21 @@ tqdm = ">=4.66,<5.0"
[[package]]
name = "fastembed-gpu"
version = "0.5.1"
version = "0.6.1"
description = "Fast, light, accurate library built for retrieval embedding generation"
optional = true
python-versions = ">=3.9.0"
groups = ["main"]
markers = "extra == \"fastembed-gpu\""
files = [
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{file = "fastembed_gpu-0.5.1.tar.gz", hash = "sha256:2f6e40d97138b67b54d0bdb6a2b3f03a08c760550ace7bb32269b30709212494"},
{file = "fastembed_gpu-0.6.1-py3-none-any.whl", hash = "sha256:66273814c4c69be850236663547549770c6085d6289c4e8ecfae9a4f626c72f0"},
{file = "fastembed_gpu-0.6.1.tar.gz", hash = "sha256:5a9ed9cc5f81c26eed9e99cd5f8d4af8ceefcf2c0c1a879432aa1fa9a72cc2dd"},
]
[package.dependencies]
huggingface-hub = ">=0.20,<1.0"
loguru = ">=0.7.2,<0.8.0"
mmh3 = ">=4.1.0,<5.0.0"
mmh3 = ">=4.1.0,<6.0.0"
numpy = [
{version = ">=2.1.0", markers = "python_version >= \"3.13\""},
{version = ">=1.21,<2.1.0", markers = "python_version < \"3.10\""},
@@ -663,7 +663,7 @@ onnxruntime-gpu = [
{version = ">=1.17.0,<1.20.0", markers = "python_version < \"3.10\""},
{version = ">=1.17.0,<1.20.0 || >1.20.0", markers = "python_version >= \"3.10\" and python_version < \"3.13\""},
]
pillow = ">=10.3.0,<11.0.0"
pillow = ">=10.3.0,<12.0.0"
py-rust-stemmers = ">=0.1.0,<0.2.0"
requests = ">=2.31,<3.0"
tokenizers = ">=0.15,<1.0"
@@ -1352,97 +1352,103 @@ typing-extensions = {version = "*", markers = "python_version < \"3.11\""}
[[package]]
name = "mmh3"
version = "4.1.0"
version = "5.1.0"
description = "Python extension for MurmurHash (MurmurHash3), a set of fast and robust hash functions."
optional = true
python-versions = "*"
python-versions = ">=3.9"
groups = ["main"]
markers = "extra == \"fastembed\" or extra == \"fastembed-gpu\""
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]
[package.extras]
docs = ["furo", "olefile", "sphinx (>=7.3)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
docs = ["furo", "olefile", "sphinx (>=8.1)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
fpx = ["olefile"]
mic = ["olefile"]
tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
tests = ["check-manifest", "coverage (>=7.4.2)", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout", "trove-classifiers (>=2024.10.12)"]
typing = ["typing-extensions ; python_version < \"3.10\""]
xmp = ["defusedxml"]
@@ -3512,4 +3509,4 @@ fastembed-gpu = ["fastembed-gpu"]
[metadata]
lock-version = "2.1"
python-versions = ">=3.9"
content-hash = "a34c0bae4254e8b9b862c8d8cd870598d4ade96f8d132f5d259b9175d991f7e6"
content-hash = "eae40204d9f11b8c00338d93842e4b877e47957e1637580f75a3161988d7b0f5"

4
pyproject.toml
View File

@@ -28,10 +28,10 @@ protobuf = ">=3.20.0"
urllib3 = ">=1.26.14,<3"
portalocker = "^2.7.0"
fastembed = [
{ version = "0.5.1", optional = true },
{ version = "0.6.1", optional = true },
]
fastembed-gpu = [
{ version = "0.5.1", optional = true },
{ version = "0.6.1", optional = true },
]
[tool.poetry.group.dev.dependencies]

1
qdrant_client/embed/embed_inspector.py
View File

@@ -8,7 +8,6 @@ from qdrant_client.embed.common import INFERENCE_OBJECT_TYPES
from qdrant_client.embed.schema_parser import ModelSchemaParser
from qdrant_client.embed.utils import convert_paths, FieldPath
from qdrant_client.http import models
class InspectorEmbed:

11
qdrant_client/embed/embedder.py
View File

@@ -15,7 +15,6 @@ from qdrant_client.fastembed_common import (
_IMAGE_EMBEDDING_MODELS,
OnnxProvider,
ImageInput,
_MULTITASK_EMBEDDING_MODELS,
)
@@ -197,15 +196,7 @@ class Embedder:
embedding_model_inst = self.get_or_init_model(model_name=model_name, **options or {})
if not is_query:
embeddings_gen = (
embedding_model_inst.embed(documents=texts, batch_size=batch_size)
if model_name not in _MULTITASK_EMBEDDING_MODELS
else embedding_model_inst.embed(
documents=texts,
batch_size=batch_size,
task_id=options.pop("task_id", None) if options else None,
)
)
embeddings_gen = embedding_model_inst.embed(documents=texts, batch_size=batch_size)
embeddings = [embedding.tolist() for embedding in embeddings_gen]
else:
embeddings = [

1
qdrant_client/embed/type_inspector.py
View File

@@ -7,7 +7,6 @@ from qdrant_client.embed.common import INFERENCE_OBJECT_TYPES
from qdrant_client.embed.schema_parser import ModelSchemaParser
from qdrant_client.embed.utils import FieldPath
from qdrant_client.http import models
class Inspector:

14
qdrant_client/fastembed_common.py
View File

@@ -21,11 +21,6 @@ except ImportError:
ImageEmbedding = None
ImageInput = None
try: # requires fastembed >0.5.1
from fastembed.text.multitask_embedding import JinaEmbeddingV3 as _MultitaskTextEmbedding
except ImportError:
_MultitaskTextEmbedding = None
SUPPORTED_EMBEDDING_MODELS: dict[str, tuple[int, models.Distance]] = (
{
@@ -70,15 +65,6 @@ _IMAGE_EMBEDDING_MODELS: dict[str, tuple[int, models.Distance]] = (
else {}
)
_MULTITASK_EMBEDDING_MODELS: dict[str, tuple[int, models.Distance]] = (
{
model.model: (model.dim, models.Distance.COSINE)
for model in _MultitaskTextEmbedding._list_supported_models()
}
if _MultitaskTextEmbedding
else {}
)
class QueryResponse(BaseModel, extra="forbid"): # type: ignore
id: Union[str, int]

1
tests/embed_tests/test_local_inference.py
View File

@@ -1108,7 +1108,6 @@ def test_propagate_options(prefer_grpc):
vectors_config=vectors_config,
sparse_vectors_config=sparse_vectors_config,
)
local_client.upsert(COLLECTION_NAME, points)
remote_client.upsert(COLLECTION_NAME, points)