FAISS Index-Docstore Inconsistency Issue
🐛 Describe the bug
When I checked the integration status of the FAISS vector library, I found that deletions and additions caused the stored index to become misaligned, resulting in some data being missed during the search process.
ouch yeah this one hurts — classic mismatch between index_to_id and docstore.
faiss itself doesn't manage the metadata integrity, so if you're doing delete + re-add + save/load, you’re likely to desync the index and the docstore. the .index_to_id list no longer aligns with what’s in the docstore dict, and your queries start pulling ghosts or missing valid docs.
if you want to patch around it short-term:
- always rebuild the index and docstore together after major deletions
- or manually re-sync
index_to_idwithdocstore.keys()before saving
but long term? yeah... the vectorstore abstraction should really have better integrity guarantees — or at least throw when misaligned.
you're not alone tho. many setups hit this and never realize why retrieval fails silently. this bug likes to wear invisibility cloak.
hope this helps before you start doubting reality. ^^
also we have listed 16 common failures, if you need it , tell me . MIT License
I have also encountered this issue. You can resolve it by adding the specified code here.
change:
if index_to_delete is not None:
self.docstore.pop(vector_id, None)
self.index_to_id.pop(index_to_delete, None)
self._save()
logger.info(f"Deleted vector {vector_id} from collection {self.collection_name}")
to:
if index_to_delete is not None:
self.docstore.pop(vector_id, None)
self.index_to_id.pop(index_to_delete, None)
assert len(self.docstore) == len(self.index_to_id), "Error in Faiss delete(), #doc and #index dis matchable!"
tmp = {i: value for i, value in enumerate(self.index_to_id.values())}
self.index_to_id = tmp
self._save()
logger.info(f"Deleted vector {vector_id} from collection {self.collection_name}")