A Python library that retrieves relevant code, issues and repository info from GitHub for LLM chatbots and AI coding agents via agentic RAG.
reid41/QA-Pilot
A Svelte and FastAPI chat app that lets you ask questions about a GitHub repository or uploaded source folder, using online or local LLMs.
- Stars
- 329
- Forks
- 44
- Open issues
- 7
- Last commit
- 2 months ago
What is it?
QA-Pilot is a chat interface for understanding code repositories. You give it a public GitHub URL, which it clones, or upload a local folder of source files, and it indexes the code so you can ask questions about it in a chat session. Chat history is stored in PostgreSQL, and multiple sessions can be kept and searched.
The project supports a wide range of model providers, including Ollama, OpenAI, Anthropic, Mistral, ZhipuAI, Tongyi, Moonshot, NVIDIA, LocalAI and llama.cpp, so it can run fully local or against hosted APIs. A built-in CodeGraph view shows Python and Go files in a visual structure, and a search option can rerank results with FlashRank.
The backend moved from Flask to FastAPI and the frontend from Streamlit to Svelte. The project describes itself as a test project for fully local question answering, not for production or for analyzing sensitive or private code.
Key features
- 01Chat with a public GitHub repository by cloning it, or upload a local source folder for indexing.
- 02Stores chat history in PostgreSQL with multiple sessions and search.
- 03Connects to many LLM providers, both local (Ollama, LocalAI, llama.cpp) and hosted.
- 04Includes a CodeGraph view for Python and Go files.
- 05Supports reranking search results with FlashRank via the rr: prefix.
Use cases
- Getting oriented in an unfamiliar open-source codebase by asking questions about it.
- Trying out question answering over code with a fully local model via Ollama.
- Comparing how different LLM providers answer questions about the same repository.
Quick start
- 1
Clone the QA-Pilot repository
git clone https://github.com/reid41/QA-Pilot.git - 2
Install the Python dependencies
pip install -r requirements.txt - 3
Install the frontend dependencies from the svelte-app directory
npm install - 4
Start the backend server
python qa_pilot_run.py
Things to know
- Needs a PostgreSQL database set up and configured before it runs.
- Requires an API key for hosted LLMs or a local model runner such as Ollama.
- The README says it is a test project and not production ready.
- Its documentation warns against using it with private, sensitive, or customer code.
In collections
Topics
FAQ
- What is QA-Pilot?
- A Svelte and FastAPI chat app that lets you ask questions about a GitHub repository or uploaded source folder, using online or local LLMs. QA-Pilot is a chat interface for understanding code repositories. You give it a public GitHub URL, which it clones, or upload a local folder of source files, and it indexes the code so you can ask questions about it in a chat session. Chat history is stored in PostgreSQL, and multiple sessions can be kept and searched.
- Is QA-Pilot free to use? What license does it have?
- QA-Pilot is open source under the Apache-2.0 license. Check the license terms before using it in commercial products.
- Is QA-Pilot still maintained?
- Updated within 6 months. The last commit to QA-Pilot was on Sep 14, 2026.
- What can I use QA-Pilot for?
- Getting oriented in an unfamiliar open-source codebase by asking questions about it. Trying out question answering over code with a fully local model via Ollama. Comparing how different LLM providers answer questions about the same repository.
- How do I install QA-Pilot?
- Clone the QA-Pilot repository: git clone https://github.com/reid41/QA-Pilot.git Install the Python dependencies: pip install -r requirements.txt Install the frontend dependencies from the svelte-app directory: npm install Start the backend server: python qa_pilot_run.py
- Where can I get QA-Pilot?
- The source code and installation instructions are on GitHub: https://github.com/reid41/QA-Pilot
Summary generated by AI from the project's README. GitHub stats refresh daily.
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