serverless-chat-langchainjs and langchainjs-quickstart-demo
These are ecosystem siblings that demonstrate different deployment patterns for the same stack: one shows a complete serverless RAG system architecture on Azure, while the other provides an introductory quickstart for building and migrating LangChain.js applications to Azure.
About serverless-chat-langchainjs
Azure-Samples/serverless-chat-langchainjs
Build your own serverless AI Chat with Retrieval-Augmented-Generation using LangChain.js, TypeScript and Azure
This project helps businesses quickly set up a custom AI chatbot that can answer customer questions using their specific company documents. You provide your business's terms of service, privacy policies, or support guides, and it outputs a web-based chat interface. This is designed for product managers, customer support managers, or IT leads who need to deploy an intelligent support agent using their existing knowledge base.
About langchainjs-quickstart-demo
Azure-Samples/langchainjs-quickstart-demo
Build a generative AI application using LangChain.js, from local to Azure
This tool helps you quickly build a Q&A system that can answer questions about YouTube videos. You input a YouTube video, and it uses the video's transcript to generate accurate answers to user questions. This is ideal for developers and AI enthusiasts who want to create their own generative AI applications.
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