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chore: standardize vector store not found error

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Signed-off-by: Nathan Weinberg <nweinber@redhat.com>
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Nathan Weinberg 2025-07-30 16:11:12 -04:00 • committed by Nathan Weinberg
parent 25d3dfa30f
commit 2cb3401733
9 changed files with 46 additions and 31 deletions
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7
llama_stack/providers/remote/vector_io/qdrant/qdrant.py
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@ -12,6 +12,7 @@ from numpy.typing import NDArray
from qdrant_client import AsyncQdrantClient, models
from qdrant_client.models import PointStruct
from llama_stack.apis.common.errors import VectorStoreNotFoundError
from llama_stack.apis.inference import InterleavedContent
from llama_stack.apis.vector_dbs import VectorDB
from llama_stack.apis.vector_io import (
@ -173,7 +174,7 @@ class QdrantVectorIOAdapter(VectorIO, VectorDBsProtocolPrivate):
vector_db = await self.vector_db_store.get_vector_db(vector_db_id)
if not vector_db:
raise ValueError(f"Vector DB {vector_db_id} not found")
raise VectorStoreNotFoundError(vector_db_id)
index = VectorDBWithIndex(
vector_db=vector_db,
@ -191,7 +192,7 @@ class QdrantVectorIOAdapter(VectorIO, VectorDBsProtocolPrivate):
) -> None:
index = await self._get_and_cache_vector_db_index(vector_db_id)
if not index:
raise ValueError(f"Vector DB {vector_db_id} not found")
raise VectorStoreNotFoundError(vector_db_id)
await index.insert_chunks(chunks)
@ -203,7 +204,7 @@ class QdrantVectorIOAdapter(VectorIO, VectorDBsProtocolPrivate):
) -> QueryChunksResponse:
index = await self._get_and_cache_vector_db_index(vector_db_id)
if not index:
raise ValueError(f"Vector DB {vector_db_id} not found")
raise VectorStoreNotFoundError(vector_db_id)
return await index.query_chunks(query, params)