Self Hosted AI Stack NEW

Self-Hosted AI Stack is an open-source Docker Compose platform for deploying local AI models, chat, document embeddings and retrieval, speech interfaces, and tool integrations. It provides model serving, conversational interfaces, document processing and embedding pipelines, speech I/O, and gateway components.

Deployment supports CPU, optional NVIDIA GPU acceleration, and cloud or hybrid configurations with optional HTTPS. The repository includes configuration presets, service compositions, and security defaults to simplify setup.

Documentation details the architecture, included services, and step-by-step deployment instructions. A readiness guide describes how to evaluate local hardware and compare local, cloud, and hybrid deployment approaches.

Key Features

• Docker Compose-based open-source platform for deploying local AI models, chat, document embeddings and retrieval, speech interfaces, and tool integrations
• Model serving component for hosting AI models
• Document processing and embedding pipelines with retrieval functionality
• Speech input/output (speech I/O) interfaces
• Flexible deployment configurations supporting CPU, optional NVIDIA GPU acceleration, cloud or hybrid deployments, and optional HTTPS

Use Cases

• Deploy a secure, self-hosted conversational support assistant using Self-Hosted AI Stack to serve local language models in containers, connect document embedding and retrieval pipelines for context-aware answers, add speech I/O for voice support, and rely on presets and security defaults to meet compliance without cloud dependencies
• Build an on-premises document search and knowledge base by ingesting company files into the platform's document embedding pipeline, run vector search locally for fast, privacy-preserving retrieval, and expose a REST API or integrate into internal apps via the containerized model serving and deployment guides
• Prototype and ship multimodal AI tools—voice-enabled virtual agents, automation bots, or developer sandboxes—by combining the conversational interface, speech interface deployment and tool integrations, using Docker Compose presets and security defaults to quickly replicate production-like environments on local infrastructure

Who is it for?

• Software developers building ai-enabled applications
• Machine learning engineers
• Data scientists
• Mlops / devops engineers
• System administrators and it teams
• Startups and small businesses deploying local ai
• Enterprises seeking private or hybrid ai deployments
• Privacy- and security-conscious organizations
• Researchers and academics
• Educators and students learning ai deployment
• Hobbyists and makers experimenting with local models
• Product teams integrating chat, embeddings, or speech features