mirror of
https://github.com/hwchase17/langchain
synced 2024-11-08 07:10:35 +00:00
ed58eeb9c5
Moved the following modules to new package langchain-community in a backwards compatible fashion: ``` mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community mv langchain/langchain/adapters community/langchain_community mv langchain/langchain/callbacks community/langchain_community/callbacks mv langchain/langchain/chat_loaders community/langchain_community mv langchain/langchain/chat_models community/langchain_community mv langchain/langchain/document_loaders community/langchain_community mv langchain/langchain/docstore community/langchain_community mv langchain/langchain/document_transformers community/langchain_community mv langchain/langchain/embeddings community/langchain_community mv langchain/langchain/graphs community/langchain_community mv langchain/langchain/llms community/langchain_community mv langchain/langchain/memory/chat_message_histories community/langchain_community mv langchain/langchain/retrievers community/langchain_community mv langchain/langchain/storage community/langchain_community mv langchain/langchain/tools community/langchain_community mv langchain/langchain/utilities community/langchain_community mv langchain/langchain/vectorstores community/langchain_community mv langchain/langchain/agents/agent_toolkits community/langchain_community mv langchain/langchain/cache.py community/langchain_community ``` Moved the following to core ``` mv langchain/langchain/utils/json_schema.py core/langchain_core/utils mv langchain/langchain/utils/html.py core/langchain_core/utils mv langchain/langchain/utils/strings.py core/langchain_core/utils cat langchain/langchain/utils/env.py >> core/langchain_core/utils/env.py rm langchain/langchain/utils/env.py ``` See .scripts/community_split/script_integrations.sh for all changes
71 lines
2.0 KiB
Python
71 lines
2.0 KiB
Python
from typing import Any
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import pytest
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from langchain_community.retrievers import DocArrayRetriever
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from tests.integration_tests.retrievers.docarray.fixtures import ( # noqa: F401
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init_elastic,
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init_hnsw,
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init_in_memory,
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init_qdrant,
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init_weaviate,
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)
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@pytest.mark.parametrize(
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"backend",
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["init_hnsw", "init_in_memory", "init_qdrant", "init_elastic", "init_weaviate"],
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)
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def test_backends(request: Any, backend: Any) -> None:
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index, filter_query, embeddings = request.getfixturevalue(backend)
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# create a retriever
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retriever = DocArrayRetriever(
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index=index,
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embeddings=embeddings,
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search_field="title_embedding",
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content_field="title",
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)
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docs = retriever.get_relevant_documents("my docs")
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assert len(docs) == 1
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assert "My document" in docs[0].page_content
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assert "id" in docs[0].metadata and "year" in docs[0].metadata
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assert "other_emb" not in docs[0].metadata
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# create a retriever with filters
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retriever = DocArrayRetriever(
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index=index,
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embeddings=embeddings,
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search_field="title_embedding",
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content_field="title",
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filters=filter_query,
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)
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docs = retriever.get_relevant_documents("my docs")
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assert len(docs) == 1
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assert "My document" in docs[0].page_content
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assert "id" in docs[0].metadata and "year" in docs[0].metadata
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assert "other_emb" not in docs[0].metadata
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assert docs[0].metadata["year"] <= 90
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# create a retriever with MMR search
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retriever = DocArrayRetriever(
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index=index,
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embeddings=embeddings,
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search_field="title_embedding",
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search_type="mmr",
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content_field="title",
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filters=filter_query,
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)
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docs = retriever.get_relevant_documents("my docs")
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assert len(docs) == 1
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assert "My document" in docs[0].page_content
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assert "id" in docs[0].metadata and "year" in docs[0].metadata
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assert "other_emb" not in docs[0].metadata
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assert docs[0].metadata["year"] <= 90
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