Skip to content

The chatbot that answers all requests related Git, GitHub, and TortoiseGit!

License

Notifications You must be signed in to change notification settings

brettv30/git-buddy

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Git Buddy 🤖

Pinecone Cohere OpenAI Langchain Streamlit

Streamlit App

About Git Buddy 📖

Think of Git Buddy as a friendly, understanding, and helpful version control expert who never runs out of patience. Git Buddy offers streamlined assistance with learning about Git, GitHub, and TortoiseGit, designed for users at all levels of expertise. It combines the ease of a chatbot interface with advanced Large Language Model (LLM) and Retrieval-Augmented Generation (RAG) technology to enhance your version control system learning experience. By coupling GPT-3.5-Turbo with few-shot prompting and RAG inside a streamlit application Git Buddy is prepared to answer any and all questions related to Git, GitHub, and TortoiseGit.

git-buddy-demo.mp4

Key Features 🔑

  • TortoiseGit Advisor: Helps you utilize TortoiseGit in your projects with ease.
  • GitHub Navigator: Guides you through GitHub, from repository management to pull requests.
  • Git Teacher: Offers detailed explanations, examples, and tips on Git commands and best practices.

Technical Specifications 💡

  • Vector Database Population: GitHub Docs & Progit were used as the starting places for a recursive URL search that extracted all important information from each webpage's HTML. TortoiseGit & TortoiseGitMerge were copied as PDFs and split apart during document chunking.
  • Document Chunking in RAG: For the RAG system, document chunks are set to 400 tokens, with a 50-token overlap across documents, optimizing the balance between context and detail.
  • Document Reranking: The Cohere Rerank model is used to rerank the top 100 documents by finding the top five documents most semantically relevant to the query.
  • Embeddings Model: Utilizes the text-embedding-ada-002 model from OpenAI for generating document and query embeddings while processing text data.
  • Prompting Methodology: Adopts few-shot prompting, conversational memory, and additional document context for robust, efficient, and accurate responses.
  • Conversational Memory: Git Buddy retains knowledge of the seven most recent messages, ensuring relevant and contextual interactions while excluding older chat history.
  • Temperature Setting: GPT-3.5-Turbo operates at a temperature setting of 0.5, balancing creativity and coherence in responses.

Additional Resources 🔍

Explore Additional Resources in the app for details about the documentation Git Buddy accesses, its underlying model architecture, and helpful starter questions.

Contributing ✏️

All contributions are welcome! Simply open up an issue and create a pull request. If you are introducing new features, please provide a detailed description of the specific use case you are addressing and set up instructions to test.

License 📝

This project is under the MIT License. See LICENSE for more details.

About

The chatbot that answers all requests related Git, GitHub, and TortoiseGit!

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages