Support for hybrid search in Azure AI vector store (#2408)

Co-authored-by: Deshraj Yadav <deshrajdry@gmail.com>

mem0/vector_stores/pgvector.py

@@ -120,12 +120,13 @@ class PGVector(VectorStoreBase):
         )
         self.conn.commit()
 
-    def search(self, query, limit=5, filters=None):
+    def search(self, query, vectors, limit=5, filters=None):
         """
         Search for similar vectors.
 
         Args:
-            query (List[float]): Query vector.
+            query (str): Query.
+            vectors (List[float]): Query vector.
             limit (int, optional): Number of results to return. Defaults to 5.
             filters (Dict, optional): Filters to apply to the search. Defaults to None.
 
@@ -150,7 +151,7 @@ class PGVector(VectorStoreBase):
             ORDER BY distance
             LIMIT %s
         """,
-            (query, *filter_params, limit),
+            (vectors, *filter_params, limit),
         )
 
         results = self.cur.fetchall()