What does this problem usually mean?
When a RAG system answers as if your documents do not exist, the failure can be in ingestion, chunking, embeddings, storage, retrieval or filtering.
What to check first
- 1
Confirm that the expected documents were ingested successfully.
- 2
Check document and chunk counts in the target collection or index.
- 3
Verify that the embedding model used for queries matches the indexed data strategy.
- 4
Review metadata filters that may exclude the document you expect.
- 5
Run a simple retrieval-only test before blaming the generation model.
Important: verify the result
Change one thing at a time and repeat the same test afterwards. A successful command is not proof of a fix; verify that the original failure can no longer be reproduced.
Never include full API keys, passwords, seed phrases or private keys in screenshots, logs or support requests.
Note: Provider features, limits and versions can change. For version-specific questions, always verify the current vendor documentation.