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RAG with Azure AI Search

Microsoft Reactor
106K subscribers
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9.1K views Streamed 6 months ago #microsoftreactor #raghack
RAG (Retrieval Augmented Generation) is the most common approach used to get LLMs to answer questions grounded in a particular domain's data. Azure AI Search is a powerful search engine, with many features designed specifically for RAG applications. We'll demonstrate optimal retrieval using hybrid search with the semantic ranker, show the new integrated vectorization feature for cloud-based data ingestion, and discuss vector storage optimization. Presented by Farzad Sunavala, Product Manager on Azure AI Search, and Pamela Fox, Developer Advocate for Python Part of RAGHack, a free global hackathon to develop RAG applications. Join at https://aka.ms/raghack šŸ“Œ Check out the RAGHack 2024 series here! https://aka.ms/RAGHack2024 #microsoftreactor #raghack [eventID:23330] ...more
...more
RAG with Azure AI Search
RAG (Retrieval Augmented Generation) is the most common approach used to get LLMs to answer questions grounded in a particular domain's data. Azure AI Search is a powerful search engine, with many features designed specifically for RAG applications. We'll demonstrate optimal retrieval using hybrid search with the semantic ranker, show the new integrated vectorization feature for cloud-based data ingestion, and discuss vector storage optimization. Presented by Farzad Sunavala, Product Manager on Azure AI Search, and Pamela Fox, Developer Advocate for Python Part of RAGHack, a free global hackathon to develop RAG applications. Join at https://aka.ms/raghack šŸ“Œ Check out the RAGHack 2024 series here! https://aka.ms/RAGHack2024 #microsoftreactor #raghack [eventID:23330]

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Microsoft Reactor

106K subscribers
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