Open the supplied n8n PDF RAG starter in a NEW folder. Read README.md.
Keep the sample PDFs fictional and use the tested pinned n8n version.
Explain ingestion and question answering as separate workflows.
Import 01-ingest-pdfs.json and 02-ask-pdfs.json. Create a Local Ollama
credential at http://ollama:11434 and select it in both embedding nodes.
Use the SAME all-minilm embedding model and memory key in both workflows.
Ingest one PDF per loop item, preserve filename and physical page number,
and use the 600-character / 100-overlap splitter as a starting point.
Never publish the chat or expose Ollama on the public internet.
Run the known question, unknown question and citation validation tests.
Record real retrieved passages, model output, sources, latency and errors.
Do not equate a successful workflow or valid citation ID with factual support.
The Simple Vector Store is volatile and shared by instance users; use
only demo PDFs. For real use, propose an authenticated, scoped persistent
store with versioned upserts/deletion, limits and access checks.
Do not send mail, change bookings, scrape private files or copy secrets.
Report actual commands/results and keep failed model evaluations visible.
