Build RAG Apps on Azure with PostgreSQL on Cosmos DB and Azure Open AI using LangChain скачать в хорошем качестве

Build RAG Apps on Azure with PostgreSQL on Cosmos DB and Azure Open AI using LangChain

In this tutorial, I'll guide you through creating Retrieval-Augmented Generation (#RAG) applications using #Azure #CosmosDB (#PostgreSQL) and Azure #OpenAI, leveraging the power of #LangChain. You'll learn how to create embedding using Open AI embedding models and store these in Cosmos DB using PostgreSQL and #PGVector. From there, you will learn how to create intelligent applications that retrieve relevant information using similaritiy searches and generate insightful responses using an #LLM on Open AI. I'll cover everything from setting up your environment and configuring your databases to implementing RAG models with Langchain for enhanced AI capabilities. This video is perfect for developers looking to harness the full potential of AI-driven solutions in their projects. Don't forget to like, share, and subscribe for more tech tutorials! Code Sample: https://github.com/theonemule/azure-r... 00:00 -- Introduction 00:39 -- An Overview of RAG Architecture 07:26 -- Setting up PostgreSQL on Cosmos DB 10:35 -- Enable Vectors on PostgreSQL 12:07 -- Create Enbedding and Completion Deployments on Open AI 15:30 -- Code Walkthrough: Importing Data with LangChain 20:07 -- Code Walkthrough: Creating a RAG API with LangChain 25:05 -- Application Demo and Conclusion --------------------------------- Blaize’s Website: https://www.blaize.net Blaize’s Twitter:   / theonemule