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edd68e4ad4
## Description This PR introduces the new `langchain-qdrant` partner package, intending to deprecate the community package. ## Changes - Moved the Qdrant vector store implementation `/libs/partners/qdrant` with integration tests. - The conditional imports of the client library are now regular with minor implementation improvements. - Added a deprecation warning to `langchain_community.vectorstores.qdrant.Qdrant`. - Replaced references/imports from `langchain_community` with either `langchain_core` or by moving the definitions to the `langchain_qdrant` package itself. - Updated the Qdrant vector store documentation to reflect the changes. ## Testing - `QDRANT_URL` and [`QDRANT_API_KEY`](583e36bf6b) env values need to be set to [run integration tests](d608c93d1f) in the [cloud](https://cloud.qdrant.tech). - If a Qdrant instance is running at `http://localhost:6333`, the integration tests will use it too. - By default, tests use an [`in-memory`](https://github.com/qdrant/qdrant-client?tab=readme-ov-file#local-mode) instance(Not comprehensive). --------- Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Erick Friis <erickfriis@gmail.com>
59 lines
1.6 KiB
Python
59 lines
1.6 KiB
Python
import uuid
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from typing import Callable, Optional
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import pytest
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from langchain_core.embeddings import Embeddings
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from langchain_qdrant import Qdrant
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from tests.integration_tests.common import ConsistentFakeEmbeddings
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@pytest.mark.parametrize(
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["embeddings", "embedding_function"],
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[
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(ConsistentFakeEmbeddings(), None),
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(ConsistentFakeEmbeddings().embed_query, None),
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(None, ConsistentFakeEmbeddings().embed_query),
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],
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)
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def test_qdrant_embedding_interface(
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embeddings: Optional[Embeddings], embedding_function: Optional[Callable]
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) -> None:
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"""Test Qdrant may accept different types for embeddings."""
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from qdrant_client import QdrantClient
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client = QdrantClient(":memory:")
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collection_name = uuid.uuid4().hex
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Qdrant(
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client,
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collection_name,
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embeddings=embeddings,
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embedding_function=embedding_function,
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)
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@pytest.mark.parametrize(
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["embeddings", "embedding_function"],
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[
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(ConsistentFakeEmbeddings(), ConsistentFakeEmbeddings().embed_query),
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(None, None),
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],
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)
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def test_qdrant_embedding_interface_raises_value_error(
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embeddings: Optional[Embeddings], embedding_function: Optional[Callable]
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) -> None:
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"""Test Qdrant requires only one method for embeddings."""
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from qdrant_client import QdrantClient
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client = QdrantClient(":memory:")
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collection_name = uuid.uuid4().hex
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with pytest.raises(ValueError):
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Qdrant(
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client,
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collection_name,
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embeddings=embeddings,
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embedding_function=embedding_function,
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)
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