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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/weaviate/weaviate.py
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@ -55,9 +55,7 @@ class WeaviateIndex(EmbeddingIndex):
# TODO: make this async friendly
collection.data.insert_many(data_objects)
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:
collection = self.client.collections.get(self.collection_name)
results = collection.query.near_vector(
@ -86,6 +84,14 @@ class WeaviateIndex(EmbeddingIndex):
collection = self.client.collections.get(self.collection_name)
collection.data.delete_many(where=Filter.by_property("id").contains_any(chunk_ids))
async def query_keyword(
self,
query_string: str | None,
k: int,
score_threshold: float,
) -> QueryChunksResponse:
raise NotImplementedError("Keyword search is not supported in Weaviate")
class WeaviateVectorIOAdapter(
VectorIO,