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πŸš€ Introducing llama-github: A Fancy Tool for developing Efficient GitHub Retrieval! 🌟 - VEP Test Site
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πŸš€ Introducing llama-github: A Fancy Tool for developing Efficient GitHub Retrieval! 🌟

πŸš€ Introducing llama-github: A Fancy Tool for developing Efficient GitHub Retrieval! 🌟

Hello Chatbots Community!

I’m excited to introduce my latest open-source project, llama-github! πŸŽ‰

What is llama-github?

Llama-github is a powerful python library that helps you retrieve the most relevant code snippets, issues, and repository information from GitHub based on your queries, transforming them into valuable knowledge context. It empowers LLM Chatbots, AI Agents, and Auto-dev Agents to solve complex coding tasks. Whether you’re a developer looking for quick solutions or an engineer implementing advanced Auto Dev AI Agents, llama-github makes it easy and efficient.

High Level Architecture

https://i.redd.it/uwfwi00crd4d1.gif

Key Features

  • πŸ” Efficient Code Retrieval: Quickly find the most relevant code snippets, issues, and repository information from GitHub.
  • 🧠 Advanced Question Analysis: Leverage state-of-the-art language models to generate effective search criteria and strategies.
  • πŸ“š Contextual Answer Generation: Combine information from GitHub with advanced language models to generate rich, relevant answers.
  • ⚑ Repository Pool Caching: Cache repositories across threads to speed up retrieval and save API tokens.
  • πŸš€ Asynchronous Processing: Handle multiple requests concurrently for better performance.
  • πŸ”§ Flexible Integration: Easily integrate with various LLM providers and models.
  • πŸ”’ Robust Authentication: Support for personal access tokens and GitHub App authentication.

Quick Start Guide

  1. Installation:pip install llama-github
  2. Usage Example:from llama_github import GithubRAG # Initialize GithubRAG with your credentials github_rag = GithubRAG( github_access_token=”your_github_access_token”, openai_api_key=”your_openai_api_key”, # Optional in Simple Mode jina_api_key=”your_jina_api_key” # Optional – unless you want high concurrency production deployment (s.jina.ai API will be used in llama-github) ) # Retrieve context for a coding question query = “How to create a NumPy array in Python?” context = github_rag.retrieve_context(query) print(context)

Why You Should Star This Project ⭐️

By starring llama-github, you’re supporting an innovative tool that aims to make GitHub retrieval smarter and more efficient. Your support is our greatest motivation!

Feel free to check out the project on GitHub and give it a try. We welcome any feedback, suggestions, or contributions!

Thank you for your time, and happy coding! πŸš€

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