From 74d9fc2f9e9ea8ccbcace36746e7c0c8d027ff68 Mon Sep 17 00:00:00 2001
From: manishsahni2000 <manishsahni2000@gmail.com>
Date: Fri, 12 Jan 2024 16:40:54 +1100
Subject: [PATCH] PR community:Removing knn beta content in mongodb atlas
 vectorstore (#15865)

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---
 .../vectorstores/mongodb_atlas.py             | 28 +++++++++----------
 1 file changed, 13 insertions(+), 15 deletions(-)

diff --git a/libs/community/langchain_community/vectorstores/mongodb_atlas.py b/libs/community/langchain_community/vectorstores/mongodb_atlas.py
index 87fa45e711c..f91071ac865 100644
--- a/libs/community/langchain_community/vectorstores/mongodb_atlas.py
+++ b/libs/community/langchain_community/vectorstores/mongodb_atlas.py
@@ -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.
         """