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Improving LLM responses through Azure Cognitive Search Vector Search

Microsoft DevRadio
12.4K subscribers
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4K views 1 year ago
Vector search is a new capability for indexing, storing, and retrieving vector embeddings from a search index. You can use it to power similarity search, multi-modal search, recommendations engines, or applications implementing the Retrieval Augmented Generation (RAG) architecture. https://github.com/Azure/cognitive-se... https://learn.microsoft.com/en-us/azu... ...more
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Improving LLM responses through Azure Cognitive Search Vector Search
64Likes
4,007Views
2023Sep 15
Vector search is a new capability for indexing, storing, and retrieving vector embeddings from a search index. You can use it to power similarity search, multi-modal search, recommendations engines, or applications implementing the Retrieval Augmented Generation (RAG) architecture. https://github.com/Azure/cognitive-se... https://learn.microsoft.com/en-us/azu...

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Microsoft DevRadio

12.4K subscribers