- Nov 12, 2026
- 6:00 PM GMT+5:30
- Cessna Business Park, Sarjapur–Marathahalli Outer Ring Road, Kadubeesanahalli, Bellandur, Bengaluru, Karnataka 560103
The Agentic Data Stack - Bengaluru
AI agents are moving from demos to production. They need real-time data to hold up.
An agent is only as good as the data it can reach, and how fast it can reach it. As teams move from prototype to production, the same problems keep coming up: slow queries, no visibility into how the LLM is behaving, and systems that work in a notebook but fail under real load.
Join ClickHouse, the real-time data platform for AI, for an evening on building the agentic data stack. A ClickHouse solution architect who helps teams put AI into production every day will show you why real-time analytics sits at the core of agentic systems, and how to observe and improve LLM applications with Langfuse. Already running Langfuse open source? Find out what it takes to scale it in production.
You'll be back at work with ideas you can use straight away.
Date: Thursday, 12 November 2026
Time: 6:00pm – 9:00pm
Venue: Aloft by Marriott Bengaluru Outer Ring Road, Cessna Business Park, Sarjapur–Marathahalli Outer Ring Road, Kadubeesanahalli, Bellandur, Bengaluru, Karnataka 560103
Why attend
- Learn from the field. Get practical guidance from experts who work with teams building agentic systems, including what breaks and how to fix it.
- See the architecture. Learn where real-time analytics and LLM observability fit in a production AI stack.
- Meet your peers. Connect with Bengaluru's AI and data engineering community.
Save your seat
The event is free to attend. Seats are limited to keep the conversation small and useful, so register early.
Register now
ClickHouse: the fastest open source database for real time analytics.
Langfuse: LLM observability and evaluations for reliable AI applications and agents.
Hosted by

Rakesh Puttaswamy
Solution Architect
Agenda
17:30
Arrivals, snacks, networking and welcome
18:00
The agentic data stack: why real-time data powers production AI
18:45
LLM observability: monitoring and improving LLM applications with Langfuse
19:15
Demo and Q&A
20:00
Food and networking
21:00
Event concludes
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