chore: Enable keyword search for Milvus inline (#3073)

# What does this PR do?
With milvus-io/milvus-lite#294 - Milvus Lite
supports keyword search using BM25. While introducing keyword search we
had explicitly disabled it for inline milvus. This PR removes the need
for the check, and enables `inline::milvus` for tests.

<!-- If resolving an issue, uncomment and update the line below -->
<!-- Closes #[issue-number] -->

## Test Plan
Run llama stack with `inline::milvus` enabled:

```
pytest tests/integration/vector_io/test_openai_vector_stores.py::test_openai_vector_store_search_modes --stack-config=http://localhost:8321 --embedding-model=all-MiniLM-L6-v2 -v
```

```
INFO     2025-08-07 17:06:20,932 tests.integration.conftest:64 tests: Setting DISABLE_CODE_SANDBOX=1 for macOS                                        
=========================================================================================== test session starts ============================================================================================
platform darwin -- Python 3.12.11, pytest-7.4.4, pluggy-1.5.0 -- /Users/vnarsing/miniconda3/envs/stack-client/bin/python
cachedir: .pytest_cache
metadata: {'Python': '3.12.11', 'Platform': 'macOS-14.7.6-arm64-arm-64bit', 'Packages': {'pytest': '7.4.4', 'pluggy': '1.5.0'}, 'Plugins': {'asyncio': '0.23.8', 'cov': '6.0.0', 'timeout': '2.2.0', 'socket': '0.7.0', 'html': '3.1.1', 'langsmith': '0.3.39', 'anyio': '4.8.0', 'metadata': '3.0.0'}}
rootdir: /Users/vnarsing/go/src/github/meta-llama/llama-stack
configfile: pyproject.toml
plugins: asyncio-0.23.8, cov-6.0.0, timeout-2.2.0, socket-0.7.0, html-3.1.1, langsmith-0.3.39, anyio-4.8.0, metadata-3.0.0
asyncio: mode=Mode.AUTO
collected 3 items                                                                                                                                                                                          

tests/integration/vector_io/test_openai_vector_stores.py::test_openai_vector_store_search_modes[None-None-all-MiniLM-L6-v2-None-384-vector] PASSED                                                   [ 33%]
tests/integration/vector_io/test_openai_vector_stores.py::test_openai_vector_store_search_modes[None-None-all-MiniLM-L6-v2-None-384-keyword] PASSED                                                  [ 66%]
tests/integration/vector_io/test_openai_vector_stores.py::test_openai_vector_store_search_modes[None-None-all-MiniLM-L6-v2-None-384-hybrid] PASSED                                                   [100%]

============================================================================================ 3 passed in 4.75s =============================================================================================
```

Signed-off-by: Varsha Prasad Narsing <[email protected]>
Co-authored-by: Francisco Arceo <[email protected]>

Author: varshaprasad96

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",