We're proud to announce the availability of an end-to-end LlamaIndex + @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 @seldo will be around all week,

Hear from the leaders behind Microsoft's developer tools (@pmc, @yina_arenas, @jmillerdev, @toddanglin) this Thursday, November 7th at 9:00 AM PT: https://t.co/PEpbtSImKi #Microsoft365Dev

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: https://t.co/DZJB1hQMjC

VoiceRAG: An App Pattern for RAG + Voice Using #Azure AI Search and the GPT-4o Realtime API for Audio from @pmc

Demo of real-time voice input for a RAG application: https://t.co/TQNttsXhhd Code @ https://t.co/VbgIu6P2JJ

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 💻

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

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

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: https://t.co/22UGTs4FmY #AzureAI

Details, including before/after capacity, etc.:

Now Azure AI Search can handle up to 11x the vector volume as a vector database, offers 3x-6x the storage capacity, and up to twice the performance, with no price changes. Ready for RAG applications at all scales. #Azure #AI #RAG https://t.co/I4I1KbLl9k

Semantic re-ranking with Azure AI Search is coming to @langchain4j ! Just finished my PR at https://t.co/GPUzNwycvy with the great help of @pmc 's team!! I even added cool integration tests featuring French philosophers:

Azure AI Search support is merged into @langchain4j !! https://t.co/STEAVteOVK This is a first implementation with vector search, we’ll add more advanced features (hybrid retrieval + semantic ranking) soon!

@Azure AI Search has finally landed into @LangChainAI 🎉 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 🙂 https://t.co/kRZ2A97ipq

Edgar Allan Poe: "In the deep chasms of time, where shadows linger and fate whispers, a tardy arrival bears the sweetest nectar of hope, far surpassing the hollow echo of never to have ventured at all."

Douglas Adams version: "In the grand, inexplicable clockwork of the universe, where time is an illusion and lunchtime doubly so, arriving late is just the universe's way of saying that, in the grand scheme of things, you're probably early for something else entirely."

"better late than never" is boring, how would Shakespeare would say it, according to GPT-4: "In tardiness, there’s worth; far worse to never come."

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. https://t.co/yEkZU3ox8u

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. https://t.co/iKuSlfCaom #VectorSearch Join @deployjeremy @pmc 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. https://t.co/iKuSlfCaom #VectorSearch Join @deployjeremy @pmc for the How, Why & What.