An open-source, composable stack
LibreChat gives you a familiar chat UI
Chat, visualize, share
Talk to your data
Create and share no-code, specialized agents across your team
Generate charts, visualizations, and dashboards from chats
Save and share chat and artifacts with your team
Integrate with anything,
thanks to MCP
Integrate with databases, apps, and tools
Interact with anything that supports MCP
A unified AI interface for your organization
You're in control
Control what is shared with model providers
Integrate with your enterprise user management
Use the models and providers that suit you best
Implement a multi-provider AI strategy
Learn more about the Agentic Data Stack
Explore how the Agentic Data Stack enables AI agents to query, reason, and act on data in real time. Dive into practical examples, architectural deep dives, and product updates from the teams building agent-native analytics at ClickHouse.
You’ll learn about:
How agents interact with data using MCP and open standards
Designing analytics systems built for AI-first workflows
Real-world use cases for agent-facing analytics
The open-source foundations behind the Agentic Data Stack
Agent-Facing Analytics
Analytics designed for AI agents to explore data, generate insights, and take action in real time.
Learn more ->->
Agentic Data Stack
An open, agent-native data stack that connects models, tools, and fast analytical databases.
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Data Warehouse AI
AI-powered workflows that bring intelligence directly into modern data warehouses.
Learn more ->->Resources
Everything you need to build, deploy, and scale with AI - documentation, tools, integrations, and community resources in one place.
