Improving LLM responses through Azure Cognitive Search Vector Search

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. github.com/Azure/cognitive-search-vector-pr learn.microsoft.com/en-us/azure/search/retrieval-a…

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