CLI tool for building production RAG systems from Markdown, CSV, and PDF documents using hybrid search (BM25 + vector...
Copy the install, test the workflow, then decide if it earns a permanent slot.
The signal is softer here. Treat it like a pattern source unless it solves a very specific gap.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health unknown. no security policy. 0 open issues make this testable, but not something to trust blind.
AI Agent
Universal
Model
Gemini
Fastest way to find out if ragent belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
claude mcp add ragent -- npx ragentRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove ragentNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ ragent ← registers here
CLI tool for building production RAG systems from Markdown, CSV, and PDF documents using hybrid search (BM25 + vector) with OpenSearch. Features MCP server, Slack bot, Web UI, multi-source ingestion (local/S3/GitHub), and multi-provider embeddings (Bedrock/Gemini).