When Data Meets Agents: Generative AI with Elastic
- Date
- 2025-11-29
- Location
- Chennai, Tamil Nadu, India
- Host
- You Know, for Search
About this event
Generative AI is moving fast, but the real shift is happening where models meet systems that can search, reason, retrieve, and act. When Data Meets Agents: Generative AI with Elastic is built for people who want to understand that shift in practical terms: how modern AI applications become more useful when they are grounded in the right data, and how agentic workflows change what software can do. This in-person gathering in Chennai brings that conversation out of abstract hype and into implementation thinking. If you care about retrieval, relevance, observability, autonomy, and the data layer behind trustworthy AI experiences, this event is designed to help you connect the pieces. About the Event This event focuses on the intersection of generative AI, agents, and data infrastructure, with Elastic as the lens for exploring how these systems come together. The goal is not just to talk about AI capabilities in isolation, but to look at what makes them actually usable in products, internal tools, and enterprise workflows: strong retrieval, well-structured data access, fast search, and the ability to monitor how systems behave. Expect a technical, idea-rich session for builders, architects, and teams thinking seriously about AI-powered applications. Whether you are already experimenting with LLM-based products or still shaping your approach, the event is a chance to get a clearer picture of how search and data platforms support agentic experiences. Rather than treating "AI" as a single feature, the discussion will likely center on the stack around it: how models interact with your data, how context is retrieved, how actions are orchestrated, and where reliability matters most. That makes this especially relevant for anyone moving from proofs of concept toward systems that need to perform consistently. What to Expect You can expect a focused in-person experience built around practical understanding and technical conversation. The event is likely to explore how generative AI applications are designed when the data layer is a first-class concern, especially in settings where quality, speed, and relevance directly affect outcomes. Topics attendees will likely engage with include: How data powers generative AI beyond simple prompting Search and retrieval patterns that improve answer quality and usefulness Agent-based workflows and how autonomous systems interact with information Relevance and context management for grounded AI responses Operational thinking around monitoring, performance, and trust Where Elastic fits in enabling AI and agentic application architectures Because this is an in-person event, there is also real value in the room itself. Beyond the formal content, attendees can compare approaches, discuss use cases, and hear how others are thinking about similar technical challenges. If you are evaluating architectures, testing ideas, or refining an AI roadmap, those side conversations can be just as useful as the main session. The format is well suited to people who learn best through concrete examples and direct discussion. You should come ready to listen closely, ask sharper questions, and leave with a more grounded framework for how generative AI and agents depend on the quality and accessibility of underlying data. Why Attend If you are building with AI, one of the biggest challenges is moving from something that demos well to something that works reliably. This event matters because it focuses on the layer that often determines that outcome: the connection between models, retrieval, data infrastructure, and action-taking systems. That is where much of the real engineering work happens. You will come away with a better understanding of how to think about AI systems as end-to-end architectures, not isolated model calls. That includes clearer intuition around when search matters, how agents depend on context, and why observability and control become more important as systems gain more autonomy. Attending can help you: sharpen your view of what makes generative AI applications useful in practice better understand the role of search and retrieval in modern AI stacks see how agentic systems are connected to data quality and access patterns identify architectural questions worth asking before scaling an AI initiative connect with other practitioners in Chennai interested in serious AI implementation This is especially valuable if you are trying to cut through broad AI messaging and get to the technical and product decisions that shape real systems. The session is not just about what generative AI can do, but about what it takes to make it dependable, relevant, and operationally sound. Practical Details Location: In person in Chennai, India. If you value face-to-face technical discussion, this format gives you the chance to engage more directly with the material and with others attending. Date and time: Saturday, November 29 at 10:00 AM GMT+5:30. A morning schedule makes this a strong fit for people who want to spend a focused block of time on technical learning and discussion without stretching into a full-day commitment. This event is a good fit for attendees who want substance over noise. If your work sits anywhere near AI products, search, platform engineering, data systems, or emerging autonomous workflows, you are likely to find immediate relevance here. Bring your curiosity, your architecture questions, and your real-world constraints. The most useful way to attend is with an eye toward application: what in your current stack, roadmap, or experimentation process could benefit from better retrieval, stronger data grounding, or more thoughtful agent design.
Who should attend
This is for people who want to understand how generative AI becomes genuinely useful when it is connected to strong data and search foundations. - You build or evaluate **AI-powered products** and want a clearer view of how retrieval, relevance, and agent workflows affect user experience. - You are a **software engineer, architect, or technical lead** exploring how to design systems where models interact with real business data. - You work in **data, platform, or infrastructure roles** and want to better understand the operational side of supporting AI applications. - You are experimenting with **LLMs, RAG, or autonomous agents** and need sharper thinking on what makes these systems reliable, grounded, and scalable. - You lead **innovation, engineering, or product decisions** and want practical insight into how Elastic fits into modern generative AI stacks. - You are part of Chennai's **AI and tech community** and want in-person conversations with others who are moving beyond demos into implementation. If you are looking for surface-level AI talk, this may not be your event. If you want a more concrete understanding of the data layer behind effective AI systems, you should be in the room.