Codebase RAG

Codebase RAG is a Retrieval-Augmented Generation (RAG) server meticulously crafted to enhance the ability of AI agents and human developers to understand and navigate intricate codebases. It operates by indexing local directories or GitHub repositories into a vector database, such as Qdrant, which then allows Large Language Models to execute semantic searches and retrieve highly accurate code snippets. This innovative approach effectively enables users to 'chat' with their code, supporting incremental indexing, multi-language parsing, and significantly improving contextual understanding for LLMs interacting with software projects.

Key Features

Use Cases