Improve AI accuracy and reliability with RAG [Pt 3]

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​ Enhance your AI’s accuracy and reliability with Retrieval Augmented Generation (RAG)! Learn how combining retrievers and generators provides precise, up-to-date answers using your own data. You’ll see how using sourced data instead of relying on the model’s training data can improve user trust, while also making your AI more grounded in the context you provide.

Links:
– Serverless AI chat demo: https://github.com/Azure-Samples/serverless-chat-langchainjs
– Implement RAG training: https://learn.microsoft.com/training/modules/use-own-data-azure-openai/
– Create your AI chat with RAG workshop: https://aka.ms/ws/openai-rag-qdrant

Watch this series’ playlist: https://aka.ms/genai-js
All slides and code samples: https://github.com/microsoft/generative-ai-with-javascript   Read More Microsoft Developer