Add optoin to not index

libs/checkpoint-postgres/langgraph/store/postgres/base.py

@@ -350,6 +350,8 @@ class BasePostgresStore(Generic[C]):
                 elif text_fields is None:
                     text_fields = ["__root__"]
                 for op in inserts:
+                    if op.index is False:
+                        continue
                     value = op.value
                     ns = _namespace_to_text(op.namespace)
                     k = op.key

libs/checkpoint-postgres/tests/test_async_store.py

@@ -307,6 +307,15 @@ async def test_vector_update_with_embedding(vector_store: AsyncPostgresStore) ->
         if r.key == "doc1":
             assert r.response_metadata["score"] > after_score
 
+    # Don't index this one
+    await vector_store.aput(
+        ("test",), "doc4", {"text": "new text about dogs"}, index=False
+    )
+    results_new = await vector_store.asearch(
+        ("test",), query="new text about dogs", limit=3
+    )
+    assert not any(r.key == "doc4" for r in results_new)
+
 
 async def test_vector_search_with_filters(vector_store: AsyncPostgresStore) -> None:
     """Test combining vector search with filters."""

libs/checkpoint-postgres/tests/test_store.py

@@ -458,6 +458,11 @@ def test_vector_update_with_embedding(vector_store: PostgresStore) -> None:
         if r.key == "doc1":
             assert r.response_metadata["score"] > after_score
 
+    # Don't index this one
+    vector_store.put(("test",), "doc4", {"text": "new text about dogs"}, index=False)
+    results_new = vector_store.search(("test",), query="new text about dogs", limit=3)
+    assert not any(r.key == "doc4" for r in results_new)
+
 
 def test_vector_search_with_filters(vector_store: PostgresStore) -> None:
     """Test combining vector search with filters."""