Skip to content
Discussion options

You must be logged in to vote

Yes — this works end-to-end. One thing to flag: nomic-embed-text is 768-dim; the chunk column is vector(1536), so the embed module zero-pads to 1536 before insert. Cosine similarity in the padded space is mathematically equivalent to similarity in the 768-d subspace, so retrieval quality is preserved. The llama3.2 chat model handles citations well in our tests — make sure ollama pull succeeded for both models before starting the worker.

Replies: 1 comment

Comment options

unusdon
Jun 19, 2026
Maintainer Author

You must be logged in to vote
0 replies
Answer selected by unusdon
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Category
Q&A
Labels
None yet
1 participant