Local Rag FAQs

Question 1

What are the benefits of using Local Rag?

Accepted Answer

Key benefits include API-free operation, enhanced privacy, and the ability to provide models with real-time information, even when the model's knowledge is outdated.

Question 2

What is Local Rag?

Accepted Answer

Local Rag is a software tool that implements a local web search for Retrieval-Augmented Generation (RAG) using the Model Context Protocol (MCP). It allows you to search the web without relying on external APIs.

Question 3

How do I integrate Local Rag with Claude?

Accepted Answer

Integration is simple. You can either clone the repository or directly paste the provided JSON configuration into your Claude config, pointing it to the Local Rag MCP server.

Question 4

How does Local Rag work?

Accepted Answer

Local Rag functions as an MCP server, responding to requests for web search from models like Claude. When the model needs to search the web, it queries Local Rag, which then retrieves information and provides it back to the model.

Question 5

What is MCP?

Accepted Answer

MCP stands for Model Context Protocol. It allows models, like Claude, to retrieve external information and context during a chat.

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