Getting Started with Hrida.ai
From zero to your first AI conversation in under five minutes.
Hrida.ai runs anywhere (Docker, Kubernetes, pip, bare metal) and connects to Ollama, OpenAI-compatible, and Open Responses providers out of the box. Pick an install method, connect a provider, and start chatting.
Quick Start
Install Hrida.ai, connect a model, and start chatting.
Everything you need for a working setup. Choose Docker for the fastest path, Python for lightweight installs, or Kubernetes for production orchestration. Each guide includes connecting your first model provider.
Hrida.ai Essentials
Installed and chatting — now what?
Five short sections that cover the things every new user eventually wishes they'd known on day one: what plugins are and how to install them, why long chats eventually error out (and how to fix it with a filter), the "invisible" Task Model that powers titles/autocomplete, getting started with RAG over your own documents, and turning on Native tool calling.
Hrida.ai Teams
Bring AI to your entire organization with a single deployment.
Hrida.ai isn't just a local interface for AI. It is designed to be a centralized AI operating system for teams. Deploy it once to leverage streamlined onboarding, collaborative intelligence, resource pooling, and centralized security.
Advanced Topics
Scale, observe, and customize your deployment.
Go beyond the basics. Configure environment variables, connect external databases, add cloud storage, enable OpenTelemetry, or scale horizontally with Redis and multiple workers.
Updating
Stay current with the latest features and security patches.
Update manually with a single Docker or pip command, or automate with Watchtower, WUD, or Diun. Includes backup/restore procedures and version pinning for production.