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CodeRAG 🔍
A fully local Retrieval Augmented Generation (RAG) tool for enhancing software development workflows through contextual AI assistance.
Overview
CodeRAG integrates directly into Neovim as a plugin, creating a seamless development experience with AI assistance that respects your privacy. It indexes your workspace files into a persistent Chroma vector store and exposes an interface to query locally running Ollama models with prompts augmented by relevant context from your code.
Features
- Fully Local Operation: All operations run on your machine without sending code to external services
- Contextual Understanding: Uses RAG to provide AI responses informed by your codebase
- Neovim Integration: Designed to work within your existing editor workflow
- Persistent Knowledge: Maintains a vector store of your codebase for quick retrieval
- Ollama Compatibility: Works with any model available through Ollama
Usage
poetry run code-rag --help
Roadmap
- Basic RAG implementation
- Neovim UI components
- Full Neovim integration with RAG tool
- Agent implementation for extended capabilities
- Performance optimizations for large codebases
- Support for project-specific configuration
License
GPLv2 license
Acknowledgements
Languages
Python
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