Building RAG at scale with Semantic Kernel and DataStax Astra DB
About the Webinar
Many organizations face the challenge of building scalable, intelligent systems that can not only retrieve but also generate relevant information in real time. However, creating these systems is often complex, requiring expertise in both data integration and AI.
In this demo session, we’ll showcase how we built WikiChat, a real-time RAG-based chatbot for Wikipedia, using Microsoft Semantic Kernel, DataStax Astra DB, and Azure OpenAI. Learn how these technologies can streamline development and enhance your ability to create dynamic, responsive applications that meet the needs of today’s users.
Join this webinar to learn…
- Introduction to building Retrieval Augmented Generation (RAG) based apps on Semantic Kernal and Astra DB
- How to effectively leverage Azure OpenAI for creating embeddings
- How to effectively scale real-time applications for rapidly changing data sources, such as Wikipedia
Speakers
Greg Stachnick
Product, DataStax
Melissa Herrera
Developer Relations
DataStax