What the corpus actually looks like, and how to run it yourself.
Real documents from four categories, a live chunking preview for your own files, and the exact commands to bring the full system up on your machine.
Eleven documents, four categories
A cross-section of the actual corpus. Teal tags are verbatim from data/corpus/; amber tags are illustrative examples built in the same schema, standing in for client and support records that can't be shown here (see the note below).
Client-record and support-ticket examples here use fictional companies (Cedar Retail, Northwind Grocery) built in the same schema as the real files. The shipped corpus does include real client and support records, but they name actual companies with fabricated financial details attached, so they're excluded from this public page. Everything tagged "real corpus" above is verbatim from the repository.
This page can show you the pipeline. Only your own copy can run it.
There's no LLM behind this static page. The answers on the Overview page are scripted. Everything below is real: a real sample dataset, the real chunking algorithm running in your browser, and the exact commands to bring the full agent up on your machine.
Download the sample corpus
Three files, safe to demo publicly: two verbatim from data/corpus/, one illustrative.
Saved as .json, rename to .jsonl and drop into data/corpus/ before running the ingest script.
Bring your own data
Upload a .txt, .md or .jsonl file and see exactly how chunk_document() would slice it: 200-word windows, 40-word overlap, title prepended to the first chunk. Runs entirely in your browser; nothing leaves this page.
Run the full system locally
Needs your own OpenAI API key. Redis and both agent + dashboard containers come up with one command.
API on localhost:8000 · dashboard on localhost:8501.