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RAG over your own documents

RAG is only as good as the files you give it. We spend the first days on what to ingest and what to throw away, not on a chatbot theme.

Notes de stack

The pipeline

Clean, chunk, embed, store (often pgvector). At ask time: retrieve, stuff into a prompt with citations, refuse if the score is junk. Log the chunk IDs so we can debug a bad answer.

The messy part

Scanned PDFs, three versions of the same policy, and tables. We tell you in the quote if the corpus needs a cleanup week. That week is not free.

Questions

Can it search Google?

Not in the default build. Your corpus, your answers. Web search is a separate tool with its own guardrails.

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