VIP Salon: Production AI with ClickHouse and Langfuse
About the event
Building production AI products means two hard problems at once: a data layer fast enough to power real-time analytics, and LLM calls observable enough to debug at scale. Most teams stitch together a separate analytics database, a warehouse, an observability stack, a vector store, and a tracing tool — and the seams are where production AI breaks.
Join ClickHouse and the Langfuse team for an evening on the Agentic Data Stack — one columnar engine for analytics, observability, Postgres, and agents. The payoff: a unified stack and lower total cost of running AI in production.
What we'll cover
The Agentic Data Stack — ClickHouse’s vision for a unified foundation for production AI: real-time analytics, observability (ClickStack), Postgres (ClickHouse Postgres, in public beta), and agents (managed agentic analytics powered by Claude) — all on one columnar engine. One stack, one billing line, one telemetry surface; less data duplication, fewer pipelines to operate.
Langfuse — open-source LLM observability, now part of the ClickHouse family. Trace every LLM call, tool invocation, retrieval step, and agent action with cost, latency, and quality analytics — on a ClickHouse-native data model that scales to hundreds of millions of observations.
You'll walk away with
A clear mental model for the Agentic Data Stack: how ClickHouse, ClickStack, ClickHouse Postgres, and ClickHouse Agents combine into one engine — replacing the fragmented analytics / warehouse / observability / vector patchwork with a single, unifying data layer.
How to instrument an LLM application with Langfuse in under 30 minutes — open-source, OpenTelemetry-based, with 100+ framework integrations (LangChain, LlamaIndex, LiteLLM, OpenAI, and more) and Python and JS/TS SDKs.
A reference architecture for production AI on the Agentic Data Stack: real-time analytics + LLM observability on the same columnar engine — unifying the stack while cutting total cost.
Practical patterns for monitoring cost, latency, and quality across agent workflows at scale — Langfuse monitors, score analytics, dashboards, and Parquet exports to your warehouse.
Who this is for
Engineers and leaders shipping AI products in production: AI/ML and GenAI engineers, data engineers and platform engineers, heads of data and analytics, CTOs and founders, and digital transformation leaders.
If your team is drowning in dashboards that don't update fast enough, or you've shipped agents and can't tell which prompts, tools, or model versions are actually working — this evening is for you.
Agenda
6:00 PM Registration & networking (drinks + food)
6:45 PM Welcome — AI Builders
7:00 PM Keynote: The Agentic Data Stack — unifying analytics, observability, Postgres, and agents
7:30 PM Demo: Real-time analytics + ClickStack observability on one engine
8:00 PM Deep dive: Langfuse for production-grade LLM observability
8:30 PM Break
8:45 PM Panel: Shipping production AI on the Agentic Data Stack
9:30 PM Open Q&A & networking
10:00 PM Close
Event details
Date: Wednesday, September 9, 2026
Location: RSVP to see the address
Co-hosts
Co-hosted by AI Builders, ClickHouse, and Langfuse (now part of the ClickHouse family).