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feat (RAG): Implement configurable search mode in RAGQueryConfig

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Signed-off-by: Varsha Prasad Narsing <varshaprasad96@gmail.com>
This commit is contained in:
Varsha Prasad Narsing 2025-04-14 16:53:17 -07:00
parent 85b5f3172b
commit e2a7022d3c
14 changed files with 210 additions and 43 deletions
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4
llama_stack/providers/remote/vector_io/qdrant/qdrant.py
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@ -68,7 +68,9 @@ class QdrantIndex(EmbeddingIndex):
await self.client.upsert(collection_name=self.collection_name, points=points)
async def query(self, embedding: NDArray, k: int, score_threshold: float) -> QueryChunksResponse:
async def query(
self, embedding: NDArray, query_string: Optional[str], k: int, score_threshold: float, mode: str
) -> QueryChunksResponse:
results = (
await self.client.query_points(
collection_name=self.collection_name,