Tutorial · 4 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
- • A signed-in SciExpert account
Steps
- 1
Open Project Memory (RAG)
From the workspace sidebar choose Project Memory (RAG). On a phone, open the All menu and tap Project Memory (RAG).
- 2
Set up your inputs
Index your papers and notes into a persistent project memory so every service answers from your own corpus instead of starting cold each time. Start with the smallest realistic input so you can check the output before scaling up.
- 3
Run it
Run the tool and check the first output: per-project indexing of library papers and pasted text.
- 4
Review what came back
Work through the results: embeddings stored privately to your account; retrieved passages shown with their source; reused by the agent, writer and evidence tools.
- 5
Save or export
Save the configuration as a preset if you will repeat it, and export the output when you need it outside SciExpert. Your inputs persist across refreshes and sign-ins.
Tips
- • Start with a small input, verify the output, then scale up.
- • Save a preset once the configuration works so you can reuse it across papers.
Troubleshooting
Nothing happens when I run it
Check that every required field is filled and that your plan includes this service — locked services show a padlock in the sidebar.
The output is not what I expected
Reduce the input to a single item, confirm the result is correct, then add the rest back gradually.

