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

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 KZbin livestream, you will learn how to use Next.JS along with Vercel’s AI SDK and Lanchain.js 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.
In this session 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 Astra DB
Speakers:
Jacob Lee, Founding Software Engineer @ LangChain
Alex Leventer, Ecosystem @ DataStax
Resources:
--Wikichat: wikich.at
--The WikiChat technical teardown blog post: bit.ly/3Swf1v4
--The WikiChat Github repo: github.com/dat...

[@goodtechdoor]

Thanks a ton guys, this is brilliant stuff. As an entrepreneur and self taught dev who now runs a dev shop in India, I recognise the effort, sincerity and depth of thought. Cheering on !

[@DataStaxDon]

So awesome to hear you're benefiting from this!

[@belowavengers6058]

Underrated.

[@DataStaxDon]

Agreed indeed!

[@CyrilUrban-nw8vd]

I am always fascinated that developers earning 150000 USD/year cant afford to buy decent microphones to present themselves. This facts says more about them than they would like.