I will build an AI assistant over your documents with Claude
About this service
A retrieval-augmented assistant that answers from your own content and tells you when it does not know. I build the ingestion pipeline, the retrieval layer, the evaluation harness and the guardrails — in that order, because a RAG system without evaluation is a demo, not a product.
Built on the Claude API with pgvector or your existing vector store.
Skills
What the seller needs from you
You will answer these right after ordering. The delivery clock starts once you do.
- 1What kind of documents, and roughly how many?required
- 2Who will use the assistant and what will they ask it?required
- 3Do you have a preferred model provider or hosting constraint?
Frequently asked
Where does my data live?
Wherever you want it to. Default is your own Postgres with pgvector; nothing is sent anywhere except the model provider you choose.
How do you measure quality?
A held-out question set with graded answers, scored before and after every retrieval change. You get the harness, not just the numbers.
