rag-implementation
NewBuild Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
Install & Usage
~/.claude.jsonAdd the configuration to "mcpServers": { "rag-implementation": { "command": "...", "args": [] } }
/mcpSecurity Audits
Frequently Asked Questions
What is rag-implementation?
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
How to install rag-implementation?
To install rag-implementation: open your mcp config (~/.claude.json), then add the config to "mcpServers": { "rag-implementation": { "command": "...", "args": [] } }. Finally, /mcp in Claude Code.
What is rag-implementation best for?
rag-implementation is a mcp categorized under Documentation. It is designed for: documentation, ai-&-ml. Created by wshobson.