mirror of
https://github.com/hwchase17/langchain
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- **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... --------- 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> |
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.. | ||
__init__.py | ||
arcee.py | ||
arxiv.py | ||
azure_cognitive_search.py | ||
bedrock.py | ||
bm25.py | ||
breebs.py | ||
chaindesk.py | ||
chatgpt_plugin_retriever.py | ||
cohere_rag_retriever.py | ||
databerry.py | ||
docarray.py | ||
elastic_search_bm25.py | ||
embedchain.py | ||
google_cloud_documentai_warehouse.py | ||
google_vertex_ai_search.py | ||
kay.py | ||
kendra.py | ||
knn.py | ||
llama_index.py | ||
metal.py | ||
milvus.py | ||
outline.py | ||
pinecone_hybrid_search.py | ||
pubmed.py | ||
pupmed.py | ||
qdrant_sparse_vector_retriever.py | ||
remote_retriever.py | ||
svm.py | ||
tavily_search_api.py | ||
tfidf.py | ||
vespa_retriever.py | ||
weaviate_hybrid_search.py | ||
wikipedia.py | ||
you.py | ||
zep.py | ||
zilliz.py |