Guides to preparing documents for AI

How to get documents ready for AI tools: what goes wrong, how to fix it with or without Agnos, and real examples from Agnos’s own output.

Remove headers, footers and page numbers from PDF text before RAGWhy page furniture ends up in your chunks, a real before and after, a short Python script, and how Agnos names each removal. PDF to JSONL for RAG and fine-tuningWhat JSONL is, the fields a RAG corpus needs, real records made from a PDF, and a sample file to download. Prepare documents for Custom GPTs, NotebookLM, Claude Projects and CopilotWhy cleaned text files make better knowledge files, how to make them without code, and each tool’s own limits.

About the examples

Every Agnos output in these guides is real. It came from Agnos 2.3.0, run on the documents in the sample project that comes with it, plus a four-page PDF made from the sample’s staff handbook. Excerpts are shortened or laid out across lines where the page says so, and are otherwise unchanged.

Each guide also shows how to do the job without Agnos, by hand or with a short script, and what each way is good and bad at.

Using Agnos

For the app itself, step by step, see the documentation, starting with the quick start on the sample project. What this version does not do is in What Agnos doesn’t do.

Try Agnos on your own documents

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