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PR community:Removing knn beta content in mongodb atlas vectorstore (#15865)

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This commit is contained in:
manishsahni2000 2024-01-12 16:40:54 +11:00 committed by GitHub
parent bdd90ae2ee
commit 74d9fc2f9e
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1 changed files with 13 additions and 15 deletions
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28
libs/community/langchain_community/vectorstores/mongodb_atlas.py
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@ -221,12 +221,11 @@ class MongoDBAtlasVectorSearch(VectorStore):
) -> List[Tuple[Document, float]]:
"""Return MongoDB documents most similar to the given query and their scores.
Uses the knnBeta Operator available in MongoDB Atlas Search.
This feature is in early access and available only for evaluation purposes, to
validate functionality, and to gather feedback from a small closed group of
early access users. It is not recommended for production deployments as we
may introduce breaking changes.
For more: https://www.mongodb.com/docs/atlas/atlas-search/knn-beta
Uses the $vectorSearch stage
performs aNN search on a vector in the specified field.
Index the field as "vector" using Atlas Vector Search "vectorSearch" index type
For more info : https://www.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/
Args:
query: Text to look up documents similar to.
@ -234,7 +233,7 @@ class MongoDBAtlasVectorSearch(VectorStore):
pre_filter: (Optional) dictionary of argument(s) to prefilter document
fields on.
post_filter_pipeline: (Optional) Pipeline of MongoDB aggregation stages
following the knnBeta vector search.
following the vector Search.
Returns:
List of documents most similar to the query and their scores.
@ -258,12 +257,11 @@ class MongoDBAtlasVectorSearch(VectorStore):
) -> List[Document]:
"""Return MongoDB documents most similar to the given query.
Uses the knnBeta Operator available in MongoDB Atlas Search.
This feature is in early access and available only for evaluation purposes, to
validate functionality, and to gather feedback from a small closed group of
early access users. It is not recommended for production deployments as we
may introduce breaking changes.
For more: https://www.mongodb.com/docs/atlas/atlas-search/knn-beta
Uses the $vectorSearch stage
performs aNN search on a vector in the specified field.
Index the field as "vector" using Atlas Vector Search "vectorSearch" index type
For more info : https://www.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/
Args:
query: Text to look up documents similar to.
@ -271,7 +269,7 @@ class MongoDBAtlasVectorSearch(VectorStore):
pre_filter: (Optional) dictionary of argument(s) to prefilter document
fields on.
post_filter_pipeline: (Optional) Pipeline of MongoDB aggregation stages
following the knnBeta vector search.
following the vector search.
Returns:
List of documents most similar to the query and their scores.
@ -311,7 +309,7 @@ class MongoDBAtlasVectorSearch(VectorStore):
pre_filter: (Optional) dictionary of argument(s) to prefilter on document
fields.
post_filter_pipeline: (Optional) pipeline of MongoDB aggregation stages
following the knnBeta vector search.
following the vector search.
Returns:
List of documents selected by maximal marginal relevance.
"""