Tutorial · 5 min
How to use Project Memory (RAG)
A private vector store over your own library
Index your papers and notes into a persistent project memory so every service answers from your own corpus instead of starting cold each time.
Before you start
- • Documents or a library to index
Steps
- 1
Open Project Memory (RAG)
Sidebar → Project Memory (RAG).
- 2
Create a project
One memory project per paper or review keeps retrieval sharp.
- 3
Index your sources
Documents are chunked and embedded so later questions retrieve the exact passages instead of the whole file.
- 4
Ask across the project
Answers cite the chunk they came from, so you can trace anything back to the source document.
Tips
- • Re-index after you add a large batch of new papers.
Troubleshooting
Retrieval misses an obvious passage
Check the document actually indexed — image-only PDFs need OCR before embedding.

