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minima
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minima

Active·★ 1.0k·Updated 2026-01-22
★ Trending

On-premises conversational RAG with configurable containers

Minima is an open-source, on-premises RAG (Retrieval Augmented Generation) solution designed to query local documents securely. It offers flexible deployment options, including fully local operation with Ollama, integration with custom OpenAI-compatible LLMs, and connectivity with popular AI assistants like ChatGPT and Anthropic Claude.

#RAG#On-premises#LLM#Docker#AI
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Not affiliated with Anthropic, OpenAI or Microsoft.

$ Install
$ ./run.sh
↗ Visit site★ GitHub
01

Features

01Open-source RAG solution for on-premises container deployment.
02Supports fully local operation with Ollama, ensuring data privacy and security.
03Integrates with custom LLMs via OpenAI-compatible APIs (e.g., vLLM, TGI).
04Enables querying local documents using ChatGPT or Anthropic Claude applications.
05Indexes various document types including PDF, DOCX, TXT, MD, and CSV.
02

Compatibility

Ollama
Native
Verified via docs
OpenAI-compatible LLM APIs
Supported
Verified via docs
ChatGPT
Supported
Verified via docs
Anthropic Claude
Supported
Verified via docs
GitHub Copilot
Partial
Verified via docs
03

Quick start

1
$ ./run.sh
04

Use cases

↳Building secure, fully on-premises RAG systems using local LLMs like Ollama.
↳Integrating proprietary or self-hosted LLMs into a RAG workflow via OpenAI-compatible APIs.
↳Enhancing ChatGPT or Anthropic Claude with the ability to query and retrieve information from personal or organizational local documents.
05

Alternatives

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RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

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