Refine search results for highest relevance by adding a re-ranking step. Start using semantic ranking, built using state-of-the-art, deep learning re-ranking models. youtu.be/Xwx1DJ0OqCk #VectorSearch Join Jeremy Chapman Pablo Castro for the How, Why & What.

Improve your copilot apps— generate high-quality AI responses based on your organization data. How to use keyword, vector, and hybrid search methods in Azure Cognitive Search. youtu.be/Xwx1DJ0OqCk #VectorSearch Join Jeremy Chapman Pablo Castro for the How, Why & What.

Vector search in Azure AI Search is now GA and ready for production workloads. Semantic ranker, to boost RAG applications retrieval quality, is also GA. btw - Azure Cognitive Search is now Azure AI Search. techcommunity.microsoft.com/t5/ai-azure-ai…

Azure AI Search support is merged into LangChain4j !! github.com/langchain4j/la… This is a first implementation with vector search, we’ll add more advanced features (hybrid retrieval + semantic ranking) soon!

Microsoft Azure AI Search has finally landed into LangChain 🎉 It includes full support for Hybrid search and Semantic reranker, RAG is now easier than ever on Azure with LangChain.js! 🦜🔗 And we'll continue improving it, send us your feedback 🙂 github.com/langchain-ai/l…

Semantic re-ranking with Azure AI Search is coming to LangChain4j ! Just finished my PR at github.com/langchain4j/la… with the great help of Pablo Castro 's team!! I even added cool integration tests featuring French philosophers: github.com/jdubois/langch…

Azure AI Search, a modern retrieval system for AI applications, now has a drastically larger vector capacity—without a price increase. Customers can now run RAG at any scale and at a lower cost: msft.it/6012c0xmQ #AzureAI

Build hybrid search and sub-question querying with Azure AI Search and LlamaIndex! In this tutorial, Khye Wei of Microsoft shows you how you can use LlamaIndex with Azure's AI Search to create powerful RAG applications, including ➡️ Hybrid Search ➡️ Query rewriting ➡️ the

We had a great conversation with Boaz Ashkenazy in this Shift AI podcast! We covered knowledge and reasoning, retrieval augmented generation, vectors databases, and of course Azure AI Search.

To support its massive user base, OpenAI needed the best technology available; that's where Azure AI Search with Azure Cosmos DB came in. Together, we’re tackling some of the biggest challenges of today and tomorrow. #MSBuild 💻

Demo of real-time voice input for a RAG application: youtube.com/watch?v=vXJka8… Code @ github.com/Azure-Samples/…

VoiceRAG: An App Pattern for RAG + Voice Using #Azure AI Search and the GPT-4o Realtime API for Audio from Pablo Castro buff.ly/3Y6NIu8

The new GPT-4o realtime API for audio enables developers to build apps with speech-to-speech interactions. Learn how to build your own VoiceRAG app using the new model here: msft.it/6014m7BYC

Hear from the leaders behind Microsoft's developer tools (Pablo Castro, Yina Arenas, John Miller, Todd) this Thursday, November 7th at 9:00 AM PT: msft.it/6012WXeus #Microsoft365Dev

We're proud to announce the availability of an end-to-end LlamaIndex + Microsoft Azure solution at #MSIgnite today! Learn more about our integration with Azure Open AI, Azure AI Embeddings, Azure AI Search and more! If you're at Microsoft Ignite this week Laurie Voss will be around all week,