# hwchase17/notion-qa

Repository: https://github.com/hwchase17/notion-qa
Canonical: https://ross.abutalabs.com/products/notion-qa
Language: Python
License: MIT
License Family: permissive
Last push: 2024-09-06T05:18:06+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 0, release rhythm 35, longevity 99
- inputs: {"age_days": 1396, "days_push": 726, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2154, forks 358 (observed 2026-08-28T04:06:19.507443+00:00)

## What it is
A Python application that lets you ask natural-language questions about a Notion database, built on LangChain and OpenAI. It ingests exported Notion Markdown/CSV data and exposes a chat interface, including a deployable StreamLit app.

## Use cases
- ask questions about my notion workspace in natural language
- build a chatbot over notion docs
- query an employee handbook with an llm
- ingest notion export and do retrieval-augmented qa
- deploy a streamlit app for chatting with my documents

## When to choose
- you want a simple, ready-made LangChain example for question-answering over Notion exports
- you need a quick StreamLit chat interface over your own documents

## When to avoid
- you need a production-grade, actively developed RAG pipeline
- you want to query Notion via its API without exporting data
- you don't want to depend on OpenAI API keys

## Facets
- artifact type: application
- maturity: maintenance
- function: rag, llm-inference, chatbot, search-engine
- domain: large-language-models, developer-tools
- platform: python
- tags: notion, langchain, question-answering, streamlit, openai, document-ingestion, retrieval-augmented-generation, natural-language-processing, web-server

## Member repositories
- hwchase17/notion-qa (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:19.507443+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:50:37.425432+00:00, confidence not recorded.
  - readme: https://github.com/hwchase17/notion-qa (fetched 2026-08-28T04:06:19.507443+00:00, sha f1832e3f6cb4)
- Data as of 2026-08-30T08:39:29.467469+00:00.