minima
Active·★ 1.1k·Updated 2026-01-22
★ Trending
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.
minima is currently grouped under RAG / Knowledge Base, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Open-source RAG solution for on-premises container deployment. and Building secure, fully on-premises RAG systems using local LLMs like Ollama.. It also shows measurable community traction with 1.1k GitHub stars.
#RAG#On-premises#LLM#Docker#AI
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
Why choose it
+Open-source RAG solution for on-premises container deployment.
+Building secure, fully on-premises RAG systems using local LLMs like Ollama.
+Covers 5 supported environments or platforms, which is helpful for broader deployment needs.
+The latest recorded update is 2026-01-22, which suggests the project is still actively maintained.
03
Trade-offs
!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.
04
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
05
Quick start
1
$ ./run.sh
06
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.
07
How it compares
≈minima sits in the RAG / Knowledge Base category, so it makes more sense to evaluate it alongside tools like mindsdb instead of in isolation.
≈If your main need is closer to "Building secure, fully on-premises RAG systems using local LLMs like Ollama.", that use case is a better lens for comparison than broad feature checklists alone.
≈minima's licensing and community traction are both easier to judge in category context.
08
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