About this webinar

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

1. What an AI-native database is, and how they help you to build AI-powered applications
2. Differences between search types (keyword, vector/semantic, hybrid), and when to use each one for optimal results
3. How to work with data and perform powerful queries in Weaviate
4. How to easily integrate your data in Weaviate with AI models for faster outcomes
5. A tour of production-ready features & Weaviate Agents