chore: Enable keyword search for Milvus inline

llama_stack/providers/remote/vector_io/milvus/milvus.py

@@ -413,15 +413,6 @@ async def query_chunks(
         index = await self._get_and_cache_vector_db_index(vector_db_id)
         if not index:
             raise VectorStoreNotFoundError(vector_db_id)
-
-        if params and params.get("mode") == "keyword":
-            # Check if this is inline Milvus (Milvus-Lite)
-            if hasattr(self.config, "db_path"):
-                raise NotImplementedError(
-                    "Keyword search is not supported in Milvus-Lite. "
-                    "Please use a remote Milvus server for keyword search functionality."
-                )
-
         return await index.query_chunks(query, params)
 
     async def delete_chunks(self, store_id: str, chunks_for_deletion: list[ChunkForDeletion]) -> None:

pyproject.toml

@@ -93,6 +93,7 @@ unit = [
     "blobfile",
     "faiss-cpu",
     "pymilvus>=2.5.12",
+    "milvus-lite>=2.5.0",
     "litellm",
     "together",
     "coverage",
@@ -118,6 +119,7 @@ test = [
     "sqlalchemy[asyncio]>=2.0.41",
     "requests",
     "pymilvus>=2.5.12",
+    "milvus-lite>=2.5.0",
     "weaviate-client>=4.16.4",
 ]
 docs = [

tests/integration/vector_io/test_openai_vector_stores.py

@@ -56,6 +56,7 @@ def skip_if_provider_doesnt_support_openai_vector_stores_search(client_with_mode
         "keyword": [
             "inline::sqlite-vec",
             "remote::milvus",
+            "inline::milvus",
         ],
         "hybrid": [
             "inline::sqlite-vec",