# peterw/Chat-with-Github-Repo

This repository contains two Python scripts that demonstrate how to create a chatbot using Streamlit, OpenAI GPT-3.5-turbo, and Activeloop's Deep Lake.

Repository: https://github.com/peterw/Chat-with-Github-Repo
Canonical: https://ross.abutalabs.com/products/chat-with-github-repo
Homepage: https://explodinginsights.com/
Language: Python
License: MIT
License Family: permissive
Last push: 2024-05-20T03:44:27+00:00

## Health v2 (maintenance only)
Score: 30/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 87
- inputs: {"age_days": 1226, "days_push": 835, "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 1142, forks 164 (observed 2026-08-28T04:03:44.884880+00:00)

## What it is
A Python application that lets you chat with any GitHub repository. It clones a repo, embeds its documents into Activeloop Deep Lake, and serves a Streamlit chatbot powered by OpenAI GPT-3.5-turbo that answers questions using retrieval-augmented generation.

## Use cases
- ask questions about a github repository
- chat with a codebase using gpt
- build a rag chatbot over git repo docs
- search repository contents with embeddings
- query a repo's documentation via chatbot
- demo retrieval augmented generation with deep lake

## When to choose
- you want a quick self-hosted chatbot over a single git repository
- you want a simple Streamlit + OpenAI + Deep Lake RAG example
- you need a CLI to index a repo and then chat with it locally

## When to avoid
- you need production-grade multi-tenant RAG infrastructure
- you don't want to depend on OpenAI and Activeloop API keys
- you need support for newer LLM models or advanced retrieval features

## Facets
- artifact type: application
- maturity: maintenance
- function: rag, chatbot, llm-inference, vector-database, cli
- domain: large-language-models, chatbots, developer-tools
- platform: python, cli
- tags: streamlit, openai, deeplake, langchain, git-repository-qa, retrieval-augmented-generation, web-server

## Member repositories
- peterw/Chat-with-Github-Repo (main) score 30

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:44.884880+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 2026-08-30T06:35:16.452069+00:00, confidence not recorded.
  - readme: https://github.com/peterw/Chat-with-Github-Repo (fetched 2026-08-28T04:03:44.884880+00:00, sha 89c1bbe7ddf0)
  - homepage: https://explodinginsights.com/ (fetched 2026-08-29T12:40:26.762874+00:00, sha 2bc565abe2ea)
  - site_page: https://www.explodinginsights.com/docs (fetched 2026-08-29T12:40:26.773624+00:00, sha 01c25a7faa88)
  - site_page: https://www.explodinginsights.com/pricing (fetched 2026-08-29T12:40:26.771850+00:00, sha c62951a37a25)
- Data as of 2026-08-30T08:39:29.467469+00:00.