refactor(vector-store): enhance validation and initialization processes

docs/vector_store.ipynb

@@ -174,7 +174,7 @@
    "outputs": [],
    "source": [
     "rvs = RedisVectorStore(\n",
-    "    client=redis_client, index_name=\"my_vector_index\", embedding_service=embeddings\n",
+    "    client=redis_client, index_name=\"my_vector_index\", embeddings=embeddings\n",
     ")\n",
     "ids = rvs.add_texts(\n",
     "    texts=[d.page_content for d in docs], metadatas=[d.metadata for d in docs]\n",

src/langchain_google_memorystore_redis/__init__.py

@@ -13,12 +13,19 @@
 # limitations under the License.
 from .chat_message_history import MemorystoreChatMessageHistory
 from .doc_saver import MemorystoreDocumentSaver
-from .vector_store import DistanceStrategy, FLATConfig, HNSWConfig, RedisVectorStore
+from .vector_store import (
+    DistanceStrategy,
+    FLATConfig,
+    HNSWConfig,
+    RedisVectorStore,
+    VectorIndexConfig,
+)
 
 __all__ = [
     "MemorystoreChatMessageHistory",
     "MemorystoreDocumentSaver",
     "DistanceStrategy",
+    "VectorIndexConfig",
     "FLATConfig",
     "HNSWConfig",
     "RedisVectorStore",

src/langchain_google_memorystore_redis/chat_message_history.py

@@ -49,7 +49,9 @@ def messages(self) -> List[BaseMessage]:  # type: ignore
         """Retrieve all messages chronologically stored in this session."""
         all_elements = self._redis.lrange(self._key, 0, -1)
 
-        assert isinstance(all_elements, list)
+        if not isinstance(all_elements, list):
+            raise TypeError("Expected a list from `lrange` but got a different type.")
+
         loaded_messages = messages_from_dict(
             [json.loads(e.decode(self._encoding)) for e in all_elements]
         )