dmayboroda/minima
On-premises conversational RAG with configurable containers
1,046 ★106 forksPythonUpdated 6mo ago
What you need to know
Open-source on-premises RAG container stack with four modes: fully local (Ollama), custom LLM (OpenAI-compatible API), Custom GPT (ChatGPT), and Anthropic Claude — index your local documents and query them from ChatGPT, Claude, or your own LLM.
Install
./run.sh (interactive setup with mode selection) docker compose -f docker-compose-ollama.yml --env-file .env up --build (fully local) docker compose -f docker-compose-custom-llm.yml --env-file .env up --build (custom LLM) docker compose -f docker-compose-chatgpt.yml --env-file .env up --build (ChatGPT) docker compose -f docker-compose-mcp.yml --env-file .env up --build (Anthropic Claude MCP)
Usage
- •Create .env from .env.sample with LOCAL_FILES_PATH, EMBEDDING_MODEL_ID, EMBEDDING_SIZE; add OLLAMA_MODEL + RERANKER_MODEL for Ollama mode, or LLM_BASE_URL + LLM_MODEL for custom LLM mode
- •For Anthropic Claude: add the minima MCP server to ~/Library/Application Support/Claude/claude_desktop_config.json using uv --directory /path_to_cloned_minima_project/mcp-server run minima
- •For ChatGPT: copy the OTP from the docker terminal and use the 'Minima Local Computer Search' custom GPT
- •Chat UI is served at http://localhost:3000; fully local users can also run the Electron app (cd electron && npm install && npm start)
- •Indexed file types: .pdf, .xls, .docx, .txt, .md, .csv (recursive over LOCAL_FILES_PATH)
Key features
- ✓Four modes: fully local Ollama (all NNs on your hardware), custom OpenAI-compatible LLM (vLLM, TGI, Ollama server, LiteLLM, LocalAI, OpenAI API), ChatGPT custom GPT, and Anthropic Claude
- ✓Ollama workflow: query enhancement → retrieval with BAAI reranker reranking → answer generation
- ✓Custom LLM workflow: LLM decides via function calling whether to search → direct vector search (no reranking) → answer
- ✓Qdrant vector storage configured from EMBEDDING_SIZE; Sentence Transformer embedding models
- ✓MCP usage with GitHub Copilot via run_in_copilot.sh and .vscode/mcp.json
Caveats
- ⚠Only Sentence Transformer embedding models are supported (tested with sentence-transformers/all-mpnet-base-v2)
- ⚠Reranker model is NOT required and is not downloaded in custom LLM mode
- ⚠For MCP usage your local machine needs Python >= 3.10 and 'uv' installed
- ⚠ChatGPT integration requires USER_ID (your email) and PASSWORD env vars
- ⚠License: Mozilla Public License v2.0 (MPLv2)
Platforms: macOS · Linux · Windows (via Docker)Clients: Anthropic Claude (Claude Desktop) · ChatGPT (custom GPT) · GitHub Copilot (VS Code)
Documentation ↗Reviewed 2026-08-07
Topics
- Stars
- 1,046★
- Forks
- 106
- Language
- Python
- License
- MPL-2.0
- Created
- 2024-11-02
- Last push
- 2026-01-22