About
Danswer AI, rebranded as Onyx, is a powerful open-source AI platform designed for teams and enterprises that want complete control over their AI stack. It provides a feature-rich chat UI that integrates with any LLM — including GPT-4, Claude, Mistral, and open-source models — making it highly flexible and vendor-agnostic. At its core, Onyx leverages Retrieval-Augmented Generation (RAG) to ground AI responses in your organization's actual knowledge base. It connects to 40+ data sources (Slack, Confluence, Google Drive, Notion, and more) via built-in connectors, ensuring answers are accurate and up-to-date. Advanced features include AI agents for autonomous multi-step tasks, web search integration, Deep Research mode, and Model Context Protocol (MCP) support. Because it is fully self-hostable and supports air-gapped deployments, Danswer AI is ideal for security-conscious organizations in healthcare, finance, government, and enterprise environments. Teams can deploy it with Docker, customize it extensively, and avoid sending sensitive data to third-party APIs. It also ships with a Chrome extension, a desktop app, and a CLI, making it accessible across workflows. With over 17,000 GitHub stars and an active open-source community, Danswer AI is one of the most comprehensive self-hosted AI assistant platforms available.
Key Features
- Works with Any LLM: Connect to GPT-4, Claude, Mistral, Llama, or any other large language model — no vendor lock-in.
- Retrieval-Augmented Generation (RAG): Ground AI answers in your organization's real knowledge by indexing documents and data sources for accurate, context-aware responses.
- 40+ Knowledge Connectors: Ingest data from Slack, Confluence, Google Drive, Notion, GitHub, Jira, and dozens more enterprise tools out of the box.
- AI Agents & Deep Research: Autonomous AI agents can perform multi-step research tasks, browse the web, and synthesize findings across multiple sources.
- Self-Hostable & Air-Gap Ready: Deploy entirely on your own infrastructure, including fully air-gapped environments, for maximum data privacy and security compliance.
Use Cases
- Enterprise knowledge assistant that answers employee questions by searching across internal wikis, Slack, Confluence, and Google Drive.
- Secure AI chat deployment for government or healthcare organizations that require on-premises, air-gapped infrastructure.
- Developer productivity tool that lets engineering teams query codebases, documentation, and issue trackers with natural language.
- Customer support knowledge base where support agents use AI to instantly surface relevant documentation and past tickets.
- Deep research assistant that autonomously searches internal and external sources to produce comprehensive reports on complex topics.
Pros
- Complete Data Privacy: Self-hosting means sensitive organizational data never leaves your infrastructure, making it suitable for regulated industries.
- Vendor-Agnostic LLM Support: Swap or combine LLMs freely without being locked into a single AI provider, giving teams flexibility as models evolve.
- Rich Feature Set Out of the Box: Agents, RAG, MCP, web search, deep research, and 40+ connectors are included at no cost — features that rival expensive SaaS alternatives.
- Active Open-Source Community: With 17,000+ GitHub stars and hundreds of contributors, the project is well-maintained with frequent updates and community support.
Cons
- Requires Self-Hosting Expertise: Setting up and maintaining the platform requires DevOps knowledge; it is not a simple plug-and-play SaaS solution.
- Infrastructure Costs: Running the platform at scale means provisioning your own servers and managing compute costs, which can add up for large teams.
- Steeper Initial Configuration: Connecting 40+ data sources and tuning RAG pipelines requires initial setup time compared to managed AI assistant services.
Frequently Asked Questions
What is Danswer AI / Onyx?
Danswer AI, now rebranded as Onyx, is a free and open-source AI chat platform that you can self-host. It works with any LLM and includes features like RAG, AI agents, deep research, and 40+ connectors to enterprise data sources.
Is Danswer AI really free?
Yes. The core platform is fully open source under a permissive license and free to use. You are responsible for your own hosting infrastructure and any LLM API costs.
Can I use Danswer AI in an air-gapped or offline environment?
Yes. Danswer AI / Onyx is designed to run in completely air-gapped environments, making it suitable for government, defense, and high-security enterprise use cases.
Which LLMs does Danswer AI support?
It supports any LLM, including OpenAI (GPT-4), Anthropic (Claude), Mistral, Llama, and other open-source or self-hosted models. You configure which model(s) to use during setup.
What data sources can Danswer AI connect to?
Danswer AI includes built-in connectors for 40+ sources including Slack, Confluence, Google Drive, Notion, GitHub, Jira, Linear, Salesforce, and many more, allowing it to index and search across your organization's entire knowledge base.
