Powering AI Workflows with Couchbase: Semantic Search and AI Agents

IMPORTANT: Visit the PyData Ireland page to RSVP.

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

IMPORTANT: Visit the PyData Ireland page to RSVP.