Four LLM Engines, One ClickHouse Cluster: An Agentic AI Architecture
We are building an agentic AI analytics platform for a crypto exchange where internal teams — Trading Ops, Risk, Compliance, Finance, Treasury, Product, Engineering — ask questions in plain English and get audited, citation-enforced answers. It's built on five open-source components: ClickHouse — data + vector + observability storage Qwen 2.5 72B — self-hosted LLM via vLLM Anthropic MCP — zero-trust tool layer LibreChat — chat UI (acquired by ClickHouse, November 2025) Langfuse — LLM obs...
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