minima

dmayboroda
741
On-premises conversational RAG with configurable containers
#claude #custom-gpts #docker #docker-compose #langchain #mcp #model-context-protocol #ollama #sentence-transformers #ai #huggingface #qdrant

Overview

What is minima

Minima is an open-source on-premises conversational Retrieval-Augmented Generation (RAG) system that operates in configurable containers. It can integrate with ChatGPT and MCP, allowing for fully local RAG capabilities.

How to Use

To use Minima, create a .env file in the project root, configure the necessary environment variables, and run the appropriate Docker commands based on your desired installation mode (Isolated, Custom GPT, or Anthropic Claude).

Key Features

Minima supports three operational modes: 1) Isolated installation for complete on-premises operation, 2) Custom GPT for querying local documents using ChatGPT, and 3) Anthropic Claude for querying local documents with Claude. It ensures data security by running all models locally.

Where to Use

Minima can be utilized in various fields such as enterprise data management, research, and any domain requiring secure and efficient document querying and retrieval.

Use Cases

Use cases for Minima include local document retrieval for businesses, enhancing research capabilities with secure data access, and integrating with existing ChatGPT or Claude applications for customized conversational experiences.

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