Artwork
iconShare
 
Manage episode 413895054 series 3551436
Content provided by Nicholas Chang. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nicholas Chang or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.

Explore the cutting-edge intersection of language and technology as Rishabh Kumar, Twilio aficionado and Microsoft MVP, joins us to shed light on the transformative capabilities of Langchain interwoven with Azure AI Search. Prepare to be astonished by the boundless possibilities of applications fueled by large language models, as Rishabh unveils how they're reshaping the landscape far beyond conventional chatbots. We navigate through the innovative use of Azure AI Search within Retrieval-Augmented Generation pipelines, spotlighting a revolutionary YouTube assistant bot that not only condenses but also summarises lengthy video transcripts.

Text Us About the Show

We break down Blazor’s render modes in plain language. Server side rendering for instant first paint, streaming SSR for progressive content, interactive Server with SignalR for low latency, and Blazor WebAssembly when you want client side execution and near native speed. With the .NET 8 Blazor Web App template, you can pre render for speed, attach Server for responsiveness, and hydrate WASM in the background so returning visits feel instantaneous. If desktop or mobile is on the roadmap, Blazor Hybrid with .NET MAUI lets the same components run across Windows, macOS, iOS, and Android.

  continue reading

Chapters

1. Episode 9 - Unlocking AI Insights using LangChain and Azure AI Search with Rishab Kumar (00:00:00)

2. Langchain and Azure AI Search Integration (00:00:07)

3. Langchain Projects and Getting Started (00:13:20)

42 episodes