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Building a Full-Stack Agentic AI Data Platform on ClickHouse: A Complete Architecture Guide

DEV Community·RAKESH THERANI·6 months ago
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A production-grade, end-to-end agentic AI platform — chat UI, self-hosted LLM, MCP server, LLM observability, medallion data architecture, security guardrails, HA, and cost analysis. Same stack ClickHouse uses internally (DWAINE: 250+ employees, ~70% of internal analytics use cases covered, 50-70% workload reduction on the data-warehouse team). Adapted for a crypto-derivatives exchange.

Why I'm writing this

The phrase "AI platform" gets thrown around to describe everything from a single chatbot to a set of disconnected APIs. An actual production AI platform requires far more than a model and an interface — it needs data plumbing, semantic grounding, query safety, observability, role-based access, high availability, and a real cost model.

This is the architecture I shipped for a crypto exchange — covering all of those layers. Every component is open-source and battle-tested.…

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