Discover the latest Amazon OpenSearch Service launches and capabilities that enable and quickly deploy agentic AI applications and vector search operations. Learn how new integrations with Amazon Q enable intelligent data discovery and automated insights, while enhanced Amazon S3 connectivity streamlines data management. This session showcases how our latest vector database optimizations accelerate AI/ML workloads for efficient development of agentic AI, semantic search, and recommendation systems. We'll demonstrate new cost optimization features and performance enhancements across all OpenSearch use cases, including significant updates to Observability. Whether you're building next-generation AI applications or scaling your existing search infrastructure, join us for a comprehensive update on new launches and releases that can transform your search and analytics capabilities.

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ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

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As part of the Future of Data and AI: Agentic AI Conference, join us for an immersive, hands-on workshop that guides you through building Agentic RAG AI applications using Pinecone and AWS — no prior machine learning background required!

You’ll:

• Learn the fundamentals of vector database concepts and the Pinecone architecture.
• Gain practical experience in building an end-to-end Agentic Retrieval-Augmented Generation (RAG) chat application using Pinecone alongside AWS services.
• Reinforce concepts through guided implementation exercises tailored for real-world scenarios.

Whether you’re just starting out or enhancing your expertise, this workshop will equip you with the skills to create powerful, production-ready Agentic RAG systems.

📌 Registration is required. Register now to secure your spot.

As part of the Future of Data and AI: Agentic AI Conference, join us for an immersive, hands-on workshop that guides you through building Agentic RAG AI applications using Pinecone and AWS — no prior machine learning background required!

You’ll:

• Learn the fundamentals of vector database concepts and the Pinecone architecture.
• Gain practical experience in building an end-to-end Agentic Retrieval-Augmented Generation (RAG) chat application using Pinecone alongside AWS services.
• Reinforce concepts through guided implementation exercises tailored for real-world scenarios.

Whether you’re just starting out or enhancing your expertise, this workshop will equip you with the skills to create powerful, production-ready Agentic RAG systems.

📌 Registration is required. Register now to secure your spot.

As part of the Future of Data and AI: Agentic AI Conference, join us for an immersive, hands-on workshop that guides you through building Agentic RAG AI applications using Pinecone and AWS — no prior machine learning background required!

You’ll:

• Learn the fundamentals of vector database concepts and the Pinecone architecture.
• Gain practical experience in building an end-to-end Agentic Retrieval-Augmented Generation (RAG) chat application using Pinecone alongside AWS services.
• Reinforce concepts through guided implementation exercises tailored for real-world scenarios.

Whether you’re just starting out or enhancing your expertise, this workshop will equip you with the skills to create powerful, production-ready Agentic RAG systems.

📌 Registration is required. Register now to secure your spot.

As part of the Future of Data and AI: Agentic AI Conference, join us for an immersive, hands-on workshop that takes you from the basics of vector search to building fully functional AI agents powered by Weaviate.

You'll:

• Learn the fundamentals of vector search and Weaviate’s architecture for semantic and multimodal retrieval.
• Build an end-to-end agentic workflow using Weaviate, covering document and image search, automated reasoning, and chaining multiple agent steps.
• Gain hands-on experience through templated Jupyter Notebooks, progressing from simple queries to advanced multimodal and agentic flows with real-world data.
• Develop practical skills for integrating agents into intelligent automation workflows across diverse use cases.

📌 Registration is required. Register now to secure your spot.

As part of the Future of Data and AI: Agentic AI Conference, join us for an immersive, hands-on workshop that takes you from the basics of vector search to building fully functional AI agents powered by Weaviate.

You'll:

• Learn the fundamentals of vector search and Weaviate’s architecture for semantic and multimodal retrieval.
• Build an end-to-end agentic workflow using Weaviate, covering document and image search, automated reasoning, and chaining multiple agent steps.
• Gain hands-on experience through templated Jupyter Notebooks, progressing from simple queries to advanced multimodal and agentic flows with real-world data.
• Develop practical skills for integrating agents into intelligent automation workflows across diverse use cases.

📌 Registration is required. Register now to secure your spot.

As part of the Future of Data and AI: Agentic AI Conference, join us for an immersive, hands-on workshop that takes you from the basics of vector search to building fully functional AI agents powered by Weaviate.

You'll:

• Learn the fundamentals of vector search and Weaviate’s architecture for semantic and multimodal retrieval.
• Build an end-to-end agentic workflow using Weaviate, covering document and image search, automated reasoning, and chaining multiple agent steps.
• Gain hands-on experience through templated Jupyter Notebooks, progressing from simple queries to advanced multimodal and agentic flows with real-world data.
• Develop practical skills for integrating agents into intelligent automation workflows across diverse use cases.

📌 Registration is required. Register now to secure your spot.

After the huge success of the Agentic AI Conference this past May with 51,000+ attendees, we’re back for the second edition - happening September 15–19, 2025 - and it’s fully virtual!

Join us for five days of expert-led sessions and hands-on workshops from the builders shaping the future of agentic systems:

✅ Designing Intelligent Agents: The role of memory, cognition, and planning ✅ Architecting Scalable Multi-Agent Workflows: From coordination to orchestration ✅ Managing Security and Governance in MCP Deployment: Best practices for safe and compliant AI ✅ Building Agentic Research Assistants with Reka: Multi-source intelligence for business and markets ✅ Giving Eyes to Your AI: Building Vision-Enabled Agents with Haystack ✅ From Data to Agents: Building GraphRAG systems with structured & unstructured data ✅ Going Beyond the Chatbot: Building event-driven agents with GitHub Webhooks ✅ Workshop on Visualizing Transformer Models by Luis Serrano ✅ Workshop on Building AI Agents with Vector Databases by Weaviate ✅ Workshop on Building Agentic AI for Semantic Search by Pinecone ✅ Workshop on Building Smarter Agents, Faster by Arize ✅ Workshop on LandingAI’s Agentic Document Extraction

Registration is required — Register Now to secure your spot!

After the huge success of the Agentic AI Conference this past May with 51,000+ attendees, we’re back for the second edition - happening September 15–19, 2025 - and it’s fully virtual!

Join us for five days of expert-led sessions and hands-on workshops from the builders shaping the future of agentic systems:

✅ Designing Intelligent Agents: The role of memory, cognition, and planning ✅ Architecting Scalable Multi-Agent Workflows: From coordination to orchestration ✅ Managing Security and Governance in MCP Deployment: Best practices for safe and compliant AI ✅ Building Agentic Research Assistants with Reka: Multi-source intelligence for business and markets ✅ Giving Eyes to Your AI: Building Vision-Enabled Agents with Haystack ✅ From Data to Agents: Building GraphRAG systems with structured & unstructured data ✅ Going Beyond the Chatbot: Building event-driven agents with GitHub Webhooks ✅ Workshop on Visualizing Transformer Models by Luis Serrano ✅ Workshop on Building AI Agents with Vector Databases by Weaviate ✅ Workshop on Building Agentic AI for Semantic Search by Pinecone ✅ Workshop on Building Smarter Agents, Faster by Arize ✅ Workshop on LandingAI’s Agentic Document Extraction

Registration is required — Register Now to secure your spot!

After the huge success of the Agentic AI Conference this past May with 51,000+ attendees, we’re back for the second edition - happening September 15–19, 2025 - and it’s fully virtual!

Join us for five days of expert-led sessions and hands-on workshops from the builders shaping the future of agentic systems:

✅ Designing Intelligent Agents: The role of memory, cognition, and planning ✅ Architecting Scalable Multi-Agent Workflows: From coordination to orchestration ✅ Managing Security and Governance in MCP Deployment: Best practices for safe and compliant AI ✅ Building Agentic Research Assistants with Reka: Multi-source intelligence for business and markets ✅ Giving Eyes to Your AI: Building Vision-Enabled Agents with Haystack ✅ From Data to Agents: Building GraphRAG systems with structured & unstructured data ✅ Going Beyond the Chatbot: Building event-driven agents with GitHub Webhooks ✅ Workshop on Visualizing Transformer Models by Luis Serrano ✅ Workshop on Building AI Agents with Vector Databases by Weaviate ✅ Workshop on Building Agentic AI for Semantic Search by Pinecone ✅ Workshop on Building Smarter Agents, Faster by Arize ✅ Workshop on LandingAI’s Agentic Document Extraction

Registration is required — Register Now to secure your spot!

👉 Register here 👈

The future of data architecture is already here: distributed, cloud-native, and AI-ready. Is your organization equipped to meet the moment?

Join leading data experts Sanjeev Mohan, Dave Burgess, and Mark Donsky for a live panel discussion on why distributed SQL has become a critical building block for modern data platforms—and what that means for companies struggling with the limits of traditional databases, sharding complexity, and patchwork scalability.

The panel will unpack the macro trends accelerating adoption of distributed SQL, including the surge in data-intensive applications, demand for real-time analytics, elastic scalability, cost pressure, and the rise of AI workloads.

You’ll hear firsthand how enterprises and SaaS innovators are overcoming the limitations of legacy databases, simplifying operations, and unlocking new AI-driven capabilities with distributed SQL solutions like TiDB.

You’ll gain practical perspectives on:

• The evolution of distributed databases: Why is now the tipping point for distributed SQL?
• Business drivers: Scale, performance, cost efficiency, compliance, and AI-readiness.
• Architectural innovations: How technologies like TiDB solve challenges of multi-region deployments, always-on availability, and mixed workload processing.
• Real-world use cases: From e-commerce scalability to powering retrieval-augmented generation (RAG), agentic memory, and semantic search for AI applications.
• Future trends: The role of distributed SQL in shaping cloud-native and AI-powered data strategies.

Whether you’re a CTO, architect, or data engineering leader, this discussion will equip you with the knowledge to assess how distributed SQL fits into your organization’s modernization journey. Register now to secure your spot!

👉 Register here 👈

AI development is evolving rapidly, and databases must keep pace. Databases play a critical role in modern AI applications—they must consistently provide fast, accurate search across large datasets. In this talk, we’ll explore how vector search fits into AI development workflows and how Couchbase offers a unique, flexible approach by combining NoSQL with vector capabilities. We’ll cover the fundamentals of vector databases and AI agents, dive into Couchbase’s architecture and its integration with AI frameworks and wrap up with a live demo—showing how to build an AI-powered PDF chatbot using Couchbase, LangChain, and Google Gemini. Whether you’re building intelligent search, recommendation systems, or agentic applications, you’ll walk away with practical insights on using Couchbase to bring AI to production.

Speaker:

Georgina Martin, LinkedIn Georgina is a Solutions Engineer and has been at Couchbase since 2022, working closely with enterprise and midmarket customers helping them to build modern, scalable applications leveraging Couchbase’s advanced NoSQL solutions. She is passionate about innovative technology and delivering customers the highest quality solutions possible. Outside of work, Georgina enjoys bouldering and travel.

Event Agenda: 6:00 to 6:20: Entry 6:20 to 7:20: Talk and QnA 7:20 to 7:50: Networking, Pizza and Drinks

Key takeaways:

• Understand the role of vector databases and AI agents in modern AI workflows, and why they matter
• Learn how Couchbase supports AI services alongside traditional NoSQL workloads
• Gain practical insights into building AI-powered applications using Couchbase and LangChain
• Discover how to integrate Couchbase with large language models (LLMs) for real-world use cases
• See a live demo of a PDF chatbot built with Couchbase, LangChain, and Google Gemini