Intro to building AI-native applications with Weaviate
About this workshop
AI-native applications like recommenders and chatbots—using RAG and agentic architectures—make your data more accessible and actionable, helping you and your users extract valuable, meaningful insights.
Weaviate, an AI-native vector database, accelerates this journey by leveraging LLMs, combining traditional and AI-powered search, and building secure, compliant AI architectures.
In this webinar, we'll explore Weaviate's fundamental concepts and practical applications through hands-on examples. You'll gain the knowledge to build robust, enterprise-grade AI applications that scale to meet your organization's needs.
What you'll learn
What an AI-native database is, and how they help you to build AI-powered applications
Differences between search types (keyword, vector/semantic, hybrid), and when to use each one for optimal results
How to work with data and perform powerful queries in Weaviate
How to easily integrate your data in Weaviate with AI models for faster outcomes
A tour of production-ready features & Weaviate Agents
Join us for a live workshop and Q&A.
Speaker
Scott Askinosie
Technical Trainer, Weaviate
Scott is a technical trainer who is passionate about building AI applications and enabling others to do more. He is a Technical Trainer at Weaviate, working with developers to master their AI skills and hosting online and live workshops.