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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/qdrant/qdrant.py
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@ -68,9 +68,7 @@ class QdrantIndex(EmbeddingIndex):
await self.client.upsert(collection_name=self.collection_name, points=points)
async def query(
self, embedding: NDArray, query_string: Optional[str], k: int, score_threshold: float, mode: str
) -> QueryChunksResponse:
async def query_vector(self, embedding: NDArray, k: int, score_threshold: float) -> QueryChunksResponse:
results = (
await self.client.query_points(
collection_name=self.collection_name,
@ -97,6 +95,14 @@ class QdrantIndex(EmbeddingIndex):
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 Qdrant")
async def delete(self):
await self.client.delete_collection(collection_name=self.collection_name)