docrag

jimpark/docrag

★ 0 stars Python AI/LLM Updated today

Local RAG over folder trees of markdown documents, with two consumers: (a) an interactive/CLI research loop using a local LLM via Ollama, and (b) Claude Code, via an MCP server exposing semantic search.

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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "docrag": {
      "command": "uvx",
      "args": [
        "docrag"
      ]
    }
  }
}

Or install with pip: pip install docrag

README Excerpt

Local RAG over folder trees of markdown documents. One persistent index, two front ends: a CLI research loop backed by a local Ollama model, and an MCP server that exposes the same index to Claude Code. Everything runs on-device. No network egress at query time. See [docs/project-plan.md](docs/project-plan.md) for the full design.

Tools (1)

docs

docrag

Quick Install

README Excerpt

Tools (1)

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