minima

minima

Conversational RAG system with locally configurable containers, supporting multiple LLM integrations.

MCPDevOpen source
Type
MCP
Transport
http
Open source
Yes
GitHub Stars
★ 1.0k
Source
mcp-github

Overview

Minima is an open-source, locally deployable RAG system that runs in configurable containers. It supports fully local deployment, custom LLM integration (OpenAI API compatible), ChatGPT integration, and Anthropic Claude integration. Minima allows users to deploy locally or in the cloud while ensuring data security. Ideal for developers and enterprises requiring local processing and high customization.

Capabilities

  • Fully local deployment
  • Custom LLM integration
  • ChatGPT integration
  • Anthropic Claude integration
  • Support for multiple file types
  • Embedding model configuration

Use cases

Local document searchPrivate data processingCustom LLM applicationsEnterprise-grade data security

Setup

Requires: Node环境DockerAPI Key(可选)
1. Clone the repository; 2. Create and configure the .env file; 3. Start using the run.sh script or manually execute the docker compose command.

This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.

FAQ

How do I get started with Minima?

After cloning the repository, create and configure the .env file, then start using the run.sh script.

What file types are supported?

Supports .pdf, .xls, .docx, .txt, .md, .csv, and more.

Are external dependencies required?

It can be deployed entirely locally without external dependencies.

Related skills