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Tom Bocklisch 47c3221fda Max marginal relecance search fails if there are not enough docs (#1117) ... Implementation fails if there are not enough documents. Added the same check as used for similarity search. Current implementation raises ``` File ".venv/lib/python3.9/site-packages/langchain/vectorstores/faiss.py", line 160, in max_marginal_relevance_search _id = self.index_to_docstore_id[i] KeyError: -1 ```		1 year ago
..
__init__.py	Chroma in LangChain (#1010)	1 year ago
base.py	Support similarity search by vector (in FAISS) (#961)	1 year ago
chroma.py	Fix typo in integration with Chroma (#1070)	1 year ago
elastic_vector_search.py	add search kwargs (#664)	1 year ago
faiss.py	Max marginal relecance search fails if there are not enough docs (#1117)	1 year ago
milvus.py	Harrison/milvus (#856)	1 year ago
pinecone.py	added i_end in batch extraction (#907)	1 year ago
qdrant.py	Hotfix: Qdrant content retrieval (revert: #1088) (#1093)	1 year ago
utils.py	MMR example selector (#377)	2 years ago
weaviate.py	add search kwargs (#664)	1 year ago