Update missing changelog and fix typing (run-llama#8620)

* update change log and fix types

* wip

CHANGELOG.md

@@ -2,11 +2,20 @@
 
 ## Unreleased
 
+### New Features
+
+- Add `SingleStoreDB` integration (#7991)
+- Add support for ChromaDB PersistentClient (#8582)
+
 ### Bug Fixes / Nits
 
 - Update dataType in Weaviate (#8608)
 - In Knowledge Graph Index with hybrid retriever_mode,
   - return the nodes found by keyword search when 'No Relationship found'
+- Fix exceed context length error in chat engines (#8530)
+- Retrieve actual content of all the triplets from KG (#8579)
+- Return the nodes found by Keywords when no relationship is found by embeddings in hybrid retriever_mode in `KnowledgeGraphIndex` (#8575)
+- Optimize content of retriever tool and minor bug fix (#8588)
 
 ## [0.8.56] - 2023-10-30
 

llama_index/vector_stores/singlestoredb.py

@@ -1,6 +1,6 @@
 import json
 import logging
-from typing import Any, List, Optional
+from typing import Any, List, Optional, Sequence
 
 from sqlalchemy.pool import QueuePool
 
@@ -172,7 +172,7 @@ def delete(self, ref_doc_id: str, **delete_kwargs: Any) -> None:
             conn.close()
 
     def query(
-        self, query: VectorStoreQuery, filter: Optional[dict] = None
+        self, query: VectorStoreQuery, filter: Optional[dict] = None, **kwargs: Any
     ) -> VectorStoreQueryResult:
         """
         Query index for top k most similar nodes.
@@ -218,7 +218,7 @@ def build_where_clause(
             build_where_clause(where_clause_values, filter)
             where_clause += " AND ".join(arguments)
 
-        results = []
+        results: Sequence[Any] = []
         if query_embedding:
             try:
                 cur = conn.cursor()