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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
QA-Pilot is an interactive chat project that leverages online/local LLM for rapid understanding and navigation of GitHub code repository.
| Date | Stars |
|---|---|
| 2026-07-31 | 326 |
| 2026-08-03 | 326 |
| 2026-08-06 | 326 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
<p align="center">
<img src="https://github.com/reid41/QA-Pilot/assets/25558653/4b45b525-5fac-4a3c-94e9-46364bdb36c3" alt="qa-pilot">
</p>
QA-Pilot is an interactive chat project that leverages online/local LLM for rapid understanding and navigation of GitHub code repository.
### Features
* Chat with github public repository with git clone way
* Store the chat history
* Easy to set the configuration
* Multiple chat sessions
* Locate the session quicly with search function
* Integrate with `codegraph` to view the python file
* Support the different LLM models
* ollama(deepseek, llama3.1, phi3, llama3, gemma2)
* openai(gpt-4o, gpt-4-turbo, gpt-4, and gpt-3.5-turbo)
* mistralai(mistral-tiny, mistral-tiny, mistral-small-latest, mistral-medium-latest, mistral-large-latest, codestral-lates)
* localai(gpt-4, more)
* zhipuai(glm-4-0520, glm-4, glm-4-air, glm-4-airx, glm-4-flash)
* anthropic(claude-3-opus-20240229, claude-3-sonnet-20240229, claude-3-haiku-20240307, claude-3-5-sonnet-20240620)
* llamacpp
* nvidia(meta/llama3-70b-instruct, more)
* tongyi(qwen-turbo, qwen-plus, qwen-max, more)
* moonshot(moonshot-v1-8k, moonshot-v1-32k, moonshot-v1-128k)
### Release
* 2024-07-03 update langchain to `0.2.6` version and add `moonshot` API support
* 2024-06-30 add `Go Codegraph`
* 2024-06-27 add `nvidia/tongyi` API support
* 2024-06-19 add `llamacpp` API support, improve the `settings` list in the sidebar and add upload model function for `llamacpp`, add `prompt templates` setting
* 2024-06-15 add `anthropic` API support, refactor some functions, and fix chat show messages
* 2024-06-12 add `zhipuai` API support
* 2024-06-10 Convert `flask` to `fastapi` and add `localai` API support
* 2024-06-07 Add `rr:` option and use `FlashRank` for the search
* 2024-06-05 Upgrade `langchain` to `v0.2` and add `ollama embeddings`
* 2024-05-26 Release v2.0.1: Refactoring to replace `Streamlit` fontend with `Svelte` to improve the performance.
### Disclaimer
* This is a test project to validate the feasibility of a fully local solution for question answering using LLMs and Vector embeddings. It is not production ready, and it is not meant to be used in production.
* `Do not use models for analyzing your critical or production data!!`
* `Do not use models for analyzing customer data to ensure data privacy and security!!`
* `Do not use models for analyzing you private/sensitivity code respository!!`
#### QA-Pilot
#### CodeGraph
To deploy QA-Pilot, you can follow the below steps:
1. Clone the QA-Pilot repository:
```shell
git clone https://github.com/reid41/QA-Pilot.git
cd QA-Pilot
```
2. Install [conda](https://www.anaconda.com/download) for virtual environment management. Create and activate a new virtual environment.
```shell
conda create -n QA-Pilot python=3.10.14
conda activate QA-Pilot
```
3. Install the required dependencies:
```shell
pip install -r requirements.txt
```
4. Install the pytorch with cuda [pytorch](https://pytorch.org/get-started/locally/)
5. Setup providers
* For setup [ollama website](https://ollama.com/) and [ollama github](https://github.com/ollama/ollama) to manage the local LLM.
e.g.
```shell
ollama pull <model_name>
ollama list
```
* For setup [localAI](https://localai.io/) and [LocalAI github](https://github.com/mudler/LocalAI) to manage the local LLM, set the localAI `base_url` in config/config.ini.
e.g.
```shell
docker run -p 8080:8080 --name local-ai -ti localai/localai:latest-aio-cpu
# Do you have a Nvidia GPUs? Use this instead
# CUDA 11
# docker run -p 8080:8080 --gpus all --name local-ai -ti localai/localai:latest-aio-gpu-nvidia-cuda-11
# CUDA 12
# docker run -p 8080:8080 --gpus all --name local-ai -ti localai/localai:latest-aio-gpu-nvExcerpt of 6,899 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:e78cbac7d66a818b, llm:Description: 'QA-Pilot is an interactive chat project that leverages online/local LLM for rapid understanding and navigation of GitHub code repository.' Topics include langchain, huggingface, localai, openai, glm, nvidia, deepseek, svelte.
matched fp:e78cbac7d66a818b, llm:Description: 'QA-Pilot is an interactive chat project that leverages online/local LLM for rapid understanding and navigation of GitHub code repository.' Topics include langchain, huggingface, localai, openai, glm, nvidia, deepseek, svelte.
matched fp:e78cbac7d66a818b, llm:Description: 'QA-Pilot is an interactive chat project that leverages online/local LLM for rapid understanding and navigation of GitHub code repository.' Topics include langchain, huggingface, localai, openai, glm, nvidia, deepseek, svelte.
matched fp:e78cbac7d66a818b, llm:Description: 'QA-Pilot is an interactive chat project that leverages online/local LLM for rapid understanding and navigation of GitHub code repository.' Topics include langchain, huggingface, localai, openai, glm, nvidia, deepseek, svelte.