nicolamalizia/NotionRag
Ask question over your Notion Database! A naive Retrieval-Augmented Generation (RAG) pipeline backed by Langchain and Streamlit
This tool helps anyone who keeps extensive notes in Notion by allowing them to ask questions in natural language and receive answers directly from their database. It takes your Notion database content as input and provides specific answers to your queries, along with citations to the original notes. This is ideal for researchers, students, or knowledge workers who want to quickly find information within their personal or team Notion knowledge bases.
No commits in the last 6 months.
Use this if you need to quickly find specific information and insights buried within a large Notion database of notes, without manually searching through pages.
Not ideal if your notes are not primarily stored in Notion or if you prefer manual browsing and organization over an AI-powered search.
Stars
38
Forks
5
Language
Python
License
MIT
Category
Last pushed
Dec 30, 2023
Commits (30d)
0
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