AgenticRAG FAQs

Question 1

What API keys are required to use AgenticRAG?

Accepted Answer

You need an OpenAI API key for embedding and GPT-4o functionality. An Anthropic API key is optional if you plan to use Claude models directly.

Question 2

What are the main features of AgenticRAG?

Accepted Answer

Key features include intelligent code indexing, agentic retrieval, multi-model architecture (GPT-4o & Claude 3), live updates with file system watching, and built-in cost control.

Question 3

How does AgenticRAG work?

Accepted Answer

AgenticRAG indexes your codebase using semantic chunking, then employs a self-critiquing retrieval loop powered by GPT-4o to find the most relevant code snippets. It provides comprehensive context to models like Claude for better code understanding and generation.

Question 4

How do I install and use AgenticRAG with Claude?

Accepted Answer

Installation involves cloning the repository, running the install script, and adding the MCP configuration to Claude's config file. Once installed, you can use Claude to index your code and search it semantically using natural language queries.

Question 5

What is AgenticRAG?

Accepted Answer

AgenticRAG is an intelligent codebase processing server that leverages agentic Retrieval-Augmented Generation (RAG) capabilities through the Model Context Protocol (MCP). It allows AI models like Claude to deeply understand and interact with your code.

AgenticRAG

AgenticRAG

主要功能

使用案例

主要功能

使用案例