From bf839676c71fd8d33b2b8023d2ce353ac30f0820 Mon Sep 17 00:00:00 2001
From: Mohammad Mohtashim <45242107+keenborder786@users.noreply.github.com>
Date: Tue, 18 Jun 2024 08:08:42 +0500
Subject: [PATCH] [Community]: FIxed the DocumentDBVectorSearch
 `_similarity_search_without_score` (#22970)

- **Description:** The PR #22777 introduced a bug in
`_similarity_search_without_score` which was raising the
`OperationFailure` error. The mistake was syntax error for MongoDB
pipeline which has been corrected now.
    - **Issue:** #22770
---
 libs/community/langchain_community/vectorstores/documentdb.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/libs/community/langchain_community/vectorstores/documentdb.py b/libs/community/langchain_community/vectorstores/documentdb.py
index d56f1a5712..730c517a15 100644
--- a/libs/community/langchain_community/vectorstores/documentdb.py
+++ b/libs/community/langchain_community/vectorstores/documentdb.py
@@ -328,8 +328,8 @@ class DocumentDBVectorSearch(VectorStore):
             A list of documents closest to the query vector
         """
         pipeline: List[dict[str, Any]] = [
+            {"$match": filter},
             {
-                "$match": filter,
                 "$search": {
                     "vectorSearch": {
                         "vector": embeddings,
@@ -339,7 +339,7 @@ class DocumentDBVectorSearch(VectorStore):
                         "efSearch": ef_search,
                     }
                 },
-            }
+            },
         ]
 
         cursor = self._collection.aggregate(pipeline)