phoenix-oss/llama-stack-mirror
0
0
Fork 1
mirror of https://github.com/meta-llama/llama-stack.git synced 2025-08-15 06:00:48 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

fix sqlite vec, weaviate, milvus

Browse source
This commit is contained in:
Ashwin Bharambe 2025-08-12 14:25:29 -07:00
parent 88cfab2768
commit 35b9da04e5
3 changed files with 11 additions and 8 deletions
Download patch file Download diff file Expand all files Collapse all files

7
llama_stack/providers/inline/vector_io/sqlite_vec/sqlite_vec.py
View file

@ -438,13 +438,14 @@ class SQLiteVecIndex(EmbeddingIndex):
cur.execute("BEGIN TRANSACTION")
# Delete from metadata table
cur.execute(f"DELETE FROM {self.metadata_table} WHERE id = ANY(?)", (chunk_ids,))
placeholders = ",".join("?" * len(chunk_ids))
cur.execute(f"DELETE FROM {self.metadata_table} WHERE id IN ({placeholders})", chunk_ids)
# Delete from vector table
cur.execute(f"DELETE FROM {self.vector_table} WHERE id = ANY(?)", (chunk_ids,))
cur.execute(f"DELETE FROM {self.vector_table} WHERE id IN ({placeholders})", chunk_ids)
# Delete from FTS table
cur.execute(f"DELETE FROM {self.fts_table} WHERE id = ANY(?)", (chunk_ids,))
cur.execute(f"DELETE FROM {self.fts_table} WHERE id IN ({placeholders})", chunk_ids)
connection.commit()
except Exception as e:

2
llama_stack/providers/remote/vector_io/milvus/milvus.py
View file

@ -293,7 +293,7 @@ class MilvusIndex(EmbeddingIndex):
chunk_ids_str = ",".join(f"'{c.chunk_id}'" for c in chunks_for_deletion)
try:
await asyncio.to_thread(
self.client.delete, collection_name=self.collection_name, filter=f"chunk_id IN [{chunk_ids_str}]"
self.client.delete, collection_name=self.collection_name, filter=f"chunk_id in ({chunk_ids_str})"
)
except Exception as e:
logger.error(f"Error deleting chunks from Milvus collection {self.collection_name}: {e}")

10
llama_stack/providers/remote/vector_io/weaviate/weaviate.py
View file

@ -26,6 +26,7 @@ from llama_stack.providers.utils.memory.openai_vector_store_mixin import (
OpenAIVectorStoreMixin,
)
from llama_stack.providers.utils.memory.vector_store import (
ChunkForDeletion,
EmbeddingIndex,
VectorDBWithIndex,
)
@ -79,10 +80,11 @@ class WeaviateIndex(EmbeddingIndex):
# TODO: make this async friendly
collection.data.insert_many(data_objects)
async def delete_chunk(self, chunk_id: str) -> None:
async def delete_chunks(self, chunks_for_deletion: list[ChunkForDeletion]) -> None:
sanitized_collection_name = sanitize_collection_name(self.collection_name, weaviate_format=True)
collection = self.client.collections.get(sanitized_collection_name)
collection.data.delete_many(where=Filter.by_property("id").contains_any([chunk_id]))
chunk_ids = [chunk.chunk_id for chunk in chunks_for_deletion]
collection.data.delete_many(where=Filter.by_property("id").contains_any(chunk_ids))
async def query_vector(self, embedding: NDArray, k: int, score_threshold: float) -> QueryChunksResponse:
sanitized_collection_name = sanitize_collection_name(self.collection_name, weaviate_format=True)
@ -307,10 +309,10 @@ class WeaviateVectorIOAdapter(
return await index.query_chunks(query, params)
async def delete_chunks(self, store_id: str, chunk_ids: list[str]) -> None:
async def delete_chunks(self, store_id: str, chunks_for_deletion: list[ChunkForDeletion]) -> None:
sanitized_collection_name = sanitize_collection_name(store_id, weaviate_format=True)
index = await self._get_and_cache_vector_db_index(sanitized_collection_name)
if not index:
raise ValueError(f"Vector DB {sanitized_collection_name} not found")
await index.delete(chunk_ids)
await index.index.delete_chunks(chunks_for_deletion)