What if you could use GenAI to converse with Wikipedia and ask it about the very latest updates on your favorite topics?

Let’s go! In this livestream, you will learn how to use Next.JS along with Vercel’s AI SDK, LangChain.js, and Astra DB to build and deploy a production-ready RAG (retrieval augmented generation) chatbot that can discuss the latest real-time changes in thousands of the most popular Wikipedia pages.

Join us on January 24 at 10 a.m. PST for a live, 45-minute session where we’ll show you how to:

Ingest real-time data using the Wikipedia API

Chunk and embed the data using LangChain.js and Cohere

Build a simple chatbot using the Vercel AI SDK and Next.js

Build intelligent RAG prompts to utilize real-time Wikipedia data

Create relevant vector queries of Wikipedia articles and updates with DataStax Astra DB

To wrap up, we’ll host a live Q&A where you can ask technical questions. Don't miss this chance to elevate your skills in building state-of-the-art RAG applications.

Jacob Lee, Founding Software Engineer, LangChain

WikiChat: Build a real-time RAG app on Wikipedia with LangChain.js, Vercel, and Astra DB