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Implement retrieving vector store file contents

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This requires some more bookkeeping data, some additional storage (of
the chunks we created for this file), and is implemented for faiss and sqlite-vec.

Signed-off-by: Ben Browning <bbrownin@redhat.com>
This commit is contained in:
Ben Browning 2025-06-18 12:25:27 -04:00
parent a2f0f608db
commit 65869d22a4
11 changed files with 372 additions and 5 deletions
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14
llama_stack/distribution/routers/vector_io.py
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@ -23,6 +23,7 @@ from llama_stack.apis.vector_io import (
)
from llama_stack.apis.vector_io.vector_io import (
VectorStoreChunkingStrategy,
VectorStoreFileContentsResponse,
VectorStoreFileDeleteResponse,
VectorStoreFileObject,
)
@ -307,6 +308,19 @@ class VectorIORouter(VectorIO):
file_id=file_id,
)
async def openai_retrieve_vector_store_file_contents(
self,
vector_store_id: str,
file_id: str,
) -> VectorStoreFileContentsResponse:
logger.debug(f"VectorIORouter.openai_retrieve_vector_store_file_contents: {vector_store_id}, {file_id}")
# Route based on vector store ID
provider = self.routing_table.get_provider_impl(vector_store_id)
return await provider.openai_retrieve_vector_store_file_contents(
vector_store_id=vector_store_id,
file_id=file_id,
)
async def openai_update_vector_store_file(
self,
vector_store_id: str,