DOMVS AVREA // RAG VECTOR LAYER

Mistral Vector Lab.

A fast retrieval surface that loads the interface first and fetches the compact Float32 vector pack only when you search.

2292documents

6350vectors

1024dimensions

Mistralembedding model

Semantic retrieval

Query embedding via Glow-Up proxySnapshot provenance loading…

Grounded assistant

Ask the archive

Retrieval first, answer second. The assistant can only use the selected source context and must cite it; every answer gets a visible validation state.

Awaiting sources

Ask a question about the archive. I will retrieve evidence before answering.

Sources are retrieved from the embedded vector index.

Show retrieval diagnostics

No chat run yet.

Nearest context

Ready for a query

Enter a question to retrieve the most relevant coding or sales context.