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Add OpenAI compat /v1/vector_store APIs

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This commit is contained in:
Hardik Shah 2025-06-09 14:01:11 -07:00
parent dbe4e84aca
commit b55f1249e0
10 changed files with 2642 additions and 12 deletions
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68
llama_stack/providers/remote/vector_io/qdrant/qdrant.py
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@ -6,7 +6,7 @@
import logging
import uuid
from typing import Any
from typing import Any, Literal
from numpy.typing import NDArray
from qdrant_client import AsyncQdrantClient, models
@ -14,7 +14,15 @@ from qdrant_client.models import PointStruct
from llama_stack.apis.inference import InterleavedContent
from llama_stack.apis.vector_dbs import VectorDB
from llama_stack.apis.vector_io import Chunk, QueryChunksResponse, VectorIO
from llama_stack.apis.vector_io import (
Chunk,
QueryChunksResponse,
VectorIO,
VectorStoreDeleteResponse,
VectorStoreListResponse,
VectorStoreObject,
VectorStoreSearchResponse,
)
from llama_stack.providers.datatypes import Api, VectorDBsProtocolPrivate
from llama_stack.providers.inline.vector_io.qdrant import QdrantVectorIOConfig as InlineQdrantVectorIOConfig
from llama_stack.providers.utils.memory.vector_store import (
@ -178,3 +186,59 @@ class QdrantVectorIOAdapter(VectorIO, VectorDBsProtocolPrivate):
raise ValueError(f"Vector DB {vector_db_id} not found")
return await index.query_chunks(query, params)
async def openai_create_vector_store(
self,
name: str | None = None,
file_ids: list[str] | None = None,
expires_after: dict[str, Any] | None = None,
chunking_strategy: dict[str, Any] | None = None,
metadata: dict[str, Any] | None = None,
embedding_model: str | None = None,
embedding_dimension: int | None = 384,
provider_id: str | None = None,
provider_vector_db_id: str | None = None,
) -> VectorStoreObject:
raise NotImplementedError("OpenAI Vector Stores API is not supported in Qdrant")
async def openai_list_vector_stores(
self,
limit: int = 20,
order: str = "desc",
after: str | None = None,
before: str | None = None,
) -> VectorStoreListResponse:
raise NotImplementedError("OpenAI Vector Stores API is not supported in Qdrant")
async def openai_retrieve_vector_store(
self,
vector_store_id: str,
) -> VectorStoreObject:
raise NotImplementedError("OpenAI Vector Stores API is not supported in Qdrant")
async def openai_update_vector_store(
self,
vector_store_id: str,
name: str | None = None,
expires_after: dict[str, Any] | None = None,
metadata: dict[str, Any] | None = None,
) -> VectorStoreObject:
raise NotImplementedError("OpenAI Vector Stores API is not supported in Qdrant")
async def openai_delete_vector_store(
self,
vector_store_id: str,
) -> VectorStoreDeleteResponse:
raise NotImplementedError("OpenAI Vector Stores API is not supported in Qdrant")
async def openai_search_vector_store(
self,
vector_store_id: str,
query: str | list[str],
filters: dict[str, Any] | None = None,
max_num_results: int = 10,
ranking_options: dict[str, Any] | None = None,
rewrite_query: bool = False,
search_mode: Literal["keyword", "vector", "hybrid"] = "vector",
) -> VectorStoreSearchResponse:
raise NotImplementedError("OpenAI Vector Stores API is not supported in Qdrant")