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[Feat] Implement keyword search in Qdrant

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This commit implements keyword search in Qdrant.

Signed-off-by: Varsha Prasad Narsing <varshaprasad96@gmail.com>
This commit is contained in:
Varsha Prasad Narsing 2025-08-11 15:32:00 -07:00
parent ef02b9ea10
commit 21211e8f67
4 changed files with 156 additions and 23 deletions
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47
tests/unit/providers/vector_io/conftest.py
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@ -4,7 +4,9 @@
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
import os
import random
import tempfile
from unittest.mock import AsyncMock, MagicMock, patch
import numpy as np
@ -18,7 +20,7 @@ from llama_stack.providers.inline.vector_io.chroma.config import ChromaVectorIOC
from llama_stack.providers.inline.vector_io.faiss.config import FaissVectorIOConfig
from llama_stack.providers.inline.vector_io.faiss.faiss import FaissIndex, FaissVectorIOAdapter
from llama_stack.providers.inline.vector_io.milvus.config import MilvusVectorIOConfig, SqliteKVStoreConfig
from llama_stack.providers.inline.vector_io.qdrant import QdrantVectorIOConfig
from llama_stack.providers.inline.vector_io.qdrant import QdrantVectorIOConfig as InlineQdrantVectorIOConfig
from llama_stack.providers.inline.vector_io.sqlite_vec import SQLiteVectorIOConfig
from llama_stack.providers.inline.vector_io.sqlite_vec.sqlite_vec import SQLiteVecIndex, SQLiteVecVectorIOAdapter
from llama_stack.providers.remote.vector_io.chroma.chroma import ChromaIndex, ChromaVectorIOAdapter, maybe_await
@ -32,7 +34,7 @@ COLLECTION_PREFIX = "test_collection"
MILVUS_ALIAS = "test_milvus"
@pytest.fixture(params=["milvus", "sqlite_vec", "faiss", "chroma", "pgvector"])
@pytest.fixture(params=["milvus", "sqlite_vec", "faiss", "chroma", "qdrant", "pgvector"])
def vector_provider(request):
return request.param
@ -286,19 +288,22 @@ async def chroma_vec_adapter(chroma_vec_db_path, mock_inference_api, embedding_d
@pytest.fixture
def qdrant_vec_db_path(tmp_path_factory):
def qdrant_vec_db_path(tmp_path):
"""Use tmp_path with additional isolation to ensure unique path per test."""
import uuid
db_path = str(tmp_path_factory.getbasetemp() / f"test_qdrant_{uuid.uuid4()}.db")
return db_path
# Create a completely isolated temporary directory
temp_dir = tempfile.mkdtemp(prefix=f"qdrant_test_{uuid.uuid4()}_")
return temp_dir
@pytest.fixture
async def qdrant_vec_adapter(qdrant_vec_db_path, mock_inference_api, embedding_dimension):
import shutil
import uuid
config = QdrantVectorIOConfig(
db_path=qdrant_vec_db_path,
config = InlineQdrantVectorIOConfig(
path=qdrant_vec_db_path,
kvstore=SqliteKVStoreConfig(),
)
adapter = QdrantVectorIOAdapter(
@ -306,20 +311,30 @@ async def qdrant_vec_adapter(qdrant_vec_db_path, mock_inference_api, embedding_d
inference_api=mock_inference_api,
files_api=None,
)
collection_id = f"qdrant_test_collection_{uuid.uuid4()}"
original_initialize = adapter.initialize
async def safe_initialize():
if not hasattr(adapter, "_initialized") or not adapter._initialized:
await original_initialize()
adapter._initialized = True
adapter.initialize = safe_initialize
await adapter.initialize()
await adapter.register_vector_db(
VectorDB(
identifier=collection_id,
provider_id="test_provider",
embedding_model="test_model",
embedding_dimension=embedding_dimension,
)
)
collection_id = f"qdrant_test_collection_{uuid.uuid4()}"
adapter.test_collection_id = collection_id
adapter._test_db_path = qdrant_vec_db_path
yield adapter
await adapter.shutdown()
try:
if os.path.exists(qdrant_vec_db_path):
shutil.rmtree(qdrant_vec_db_path, ignore_errors=True)
except Exception:
pass
@pytest.fixture
async def qdrant_vec_index(qdrant_vec_db_path, embedding_dimension):