Building AI-powered Retrieval-Augumented Generation apps with LlamaIndex and Azure Cosmos DB

Описание к видео Building AI-powered Retrieval-Augumented Generation apps with LlamaIndex and Azure Cosmos DB

Azure Global Usergroup for January 2024

LlamaIndex is a popular way of building applications that connect your data to a large language model, allowing you to answer questions and reason about your internal data, a technique known as Retrieval-Augmented Generation (RAG). We'll show how to build a simple RAG application using LlamaIndex and Azure Cosmos DB.

#azurecosmosdb #RAG #AI

Useful Links:
GitHub - LlamaIndex retrieval augmented generation with Azure Cosmos DB, Flask and Next.js - https://github.com/run-llama/azure-co...
LlamaIndex on GitHub - https://github.com/run-llama/llama_index
Also, check out past meetups on YouTube to catch anything you might have missed -    • Global User Group Meetups  
Want to present at a future meetup? Fill out our intake form - https://aka.ms/AzureCosmosDB/UserGrou...
Try Azure Cosmos DB Free - https://aka.ms/trycosmosdb
Microsoft Reactor - https://aka.ms/Reactor

Speaker: Laurie Voss

Bio: Laurie Voss is VP of Developer Relations at LlamaIndex, the framework for connecting your data to LLMs. He has been a developer for 27 years and was co-founder of npm, Inc.. He believes passionately in making the web bigger, better, and more accessible for everyone.

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