RAGChat: Storing chat history

Channel:
Microsoft Reactor
Subscribers:
115,000
Published on ● Video Link: https://www.youtube.com/watch?v=1YiTFnnLVIA


Duration: 0:00
0 views
0

In this series, we dive deep into our most popular, fully-featured, and open-source RAG solution: https://aka.ms/ragchat\n\nLearn how we store chat history using either IndexedDB for client-side storage or Azure Cosmos DB for persistent storage. We'll discuss the API architecture and data schema choices, doing both a live demo of the app and a walkthrough of the code.\n\nThis session is a part of a series! To learn more, click here: https://aka.ms/RAGDeepDive\n\n#MicrosoftReactor #learnconnectbuild #RAGDeepDive\n\n[eventID:24575]



Other Videos By Microsoft Reactor


2024-12-18Interactive AI Experiences with Azure AI & Copilot Studio | #CopilotChronicles
2024-12-18Understanding Azure management and governance | #AZ900withNavika
2024-12-18Ask the Experts: Fabric Edition #3 3.26.25
2024-12-18RAGChat: Monitoring and tracing LLM calls
2024-12-18RAGChat: Evaluating RAG answer quality
2024-12-18RAGChat: Private deployment
2024-12-18Ask the Experts: Fabric Edition #6 6.25.25
2024-12-18Ask the Experts: Fabric Edition #5 5.28.25
2024-12-18Ask the Experts: Fabric Edition #4 4.30.25
2024-12-18RAGChat: Adding speech input and output
2024-12-18RAGChat: Storing chat history
2024-12-17Aventuras con GitHub Copilot
2024-12-17How code scanning in GitHub Advanced Security burns down security debt
2024-12-17From Zero to Hero with Data Factory in Microsoft Fabric
2024-12-17Conecta y Colabora: Potencia la Comunicación en M365 con Teams y SharePoint
2024-12-17BAM Skilling: Copilot for M365
2024-12-17Advanced Coding: Visual Studio & GitHub Copilot
2024-12-17Leverage Cloud Native Infra for Intelligent Apps
2024-12-17Building Intelligent Multi-agent Systems
2024-12-17Production-ready RAG with Azure AI Search
2024-12-17Exploring Cutting-Edge Models: LLMs, SLMs and more