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langchain/libs/community/tests/integration_tests/retrievers
Kai Kugler df234fb171
community[patch]: Fixing embedchain document mapping (#18255)
- **Description:** The current embedchain implementation seems to handle
document metadata differently than done in the current implementation of
langchain and a KeyError is thrown. I would love for someone else to
test this...

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Co-authored-by: KKUGLER <kai.kugler@mercedes-benz.com>
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>
Co-authored-by: Deshraj Yadav <deshraj@gatech.edu>
7 months ago
..
docarray
__init__.py
test_arxiv.py
test_azure_cognitive_search.py
test_breebs.py
test_embedchain.py
test_google_docai_warehoure_retriever.py
test_google_vertex_ai_search.py
test_kay.py
test_pubmed.py
test_qdrant_sparse_vector_retriever.py
test_weaviate_hybrid_search.py
test_wikipedia.py
test_you.py
test_zep.py