关于
AgenticRAG is an intelligent codebase processing server offering agentic Retrieval-Augmented Generation (RAG) capabilities through the Model Context Protocol (MCP). It automatically indexes, chunks, and embeds codebases, enabling semantic search and providing comprehensive context through a self-critiquing retrieval loop. With multi-model architecture using GPT-4o and Claude 3, live updates via file system watching, and built-in cost control, it offers an efficient solution for understanding and interacting with code.
主要功能
- Agentic Retrieval: Self-critiquing retrieval loop that ensures comprehensive context
- Live Updates: File system watching for automatic re-indexing
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- Cost Control: Built-in telemetry and budget management
- Intelligent Code Indexing: Automatically chunks and embeds codebases for semantic search
- Multi-Model Architecture: Uses GPT-4o for retrieval and Claude 3 for planning
使用案例
- Understand complex code structures and dependencies using natural language queries.
- Index and search large codebases to quickly find relevant information.
- Get statistics on a project's code, such as the number of files, chunks, and tokens.
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