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fix: sqlite_vec keyword implementation

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Signed-off-by: Varsha Prasad Narsing <varshaprasad96@gmail.com>
This commit is contained in:
Varsha Prasad Narsing 2025-05-07 16:05:25 -07:00
parent e2a7022d3c
commit 2060fdba7f
14 changed files with 146 additions and 101 deletions
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12
llama_stack/providers/remote/vector_io/milvus/milvus.py
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@ -73,9 +73,7 @@ class MilvusIndex(EmbeddingIndex):
logger.error(f"Error inserting chunks into Milvus collection {self.collection_name}: {e}")
raise e
async def query(
self, embedding: NDArray, query_str: Optional[str], k: int, score_threshold: float, mode: str
) -> QueryChunksResponse:
async def query_vector(self, embedding: NDArray, k: int, score_threshold: float) -> QueryChunksResponse:
search_res = await asyncio.to_thread(
self.client.search,
collection_name=self.collection_name,
@ -88,6 +86,14 @@ class MilvusIndex(EmbeddingIndex):
scores = [res["distance"] for res in search_res[0]]
return QueryChunksResponse(chunks=chunks, scores=scores)
async def query_keyword(
self,
query_string: str | None,
k: int,
score_threshold: float,
) -> QueryChunksResponse:
raise NotImplementedError("Keyword search is not supported in Milvus")
class MilvusVectorIOAdapter(VectorIO, VectorDBsProtocolPrivate):
def __init__(