Jessica Hawk’s Post

Giant leap for Azure AI Search -> giant leap to go at scale Gen AI apps with Azure AI Search ! 👇 11x increase in vector index size.  6x increase in total storage. 2x improvement in indexing and query throughput #azureaisearch #genai #rag

🚀 Exciting Update: Azure AI Search now offers enhanced storage capacity and vector index size at zero extra cost! Scale your retrieval augmented generation (RAG) projects to new heights without worrying about cost or performance. 🌟 Dive in and experience the power of limitless scaling with Azure AI. #AzureAI #AzureAISearch #RAG

Azure AI Search breaking the scale barriers without breaking your bank!! 2023 was the year of Generative AI prototypes, now as the rubber hits the road and enterprises move towards taking their RAG applications to production, they need a retrieval system with not just highly relevant results but also something that can provide it at an optimal cost. With our recent announcements Azure AI search becomes one of the most cost-effective retrieval systems available to build large scale enterprise grade RAG applications. Some key highlights from our announcement are: ·      Increase in storage and compute across most SKUs at same price. ·      Supporting larger vector workloads at same cost with enhanced performance. ·      Introducing new vector features to further optimize vector storage. Read more about our announcements and impact in these blog posts by Eric Boyd and Pablo Castro: https://lnkd.in/g_UqYz8h https://lnkd.in/g2h76M-g #azureaisearch #rag #vectordb #azureai #generativeai

Significant changes to Azure AI Search for customers building production-ready generative AI applications, including drastically increased storage capacity and vector index size at no additional cost. Now customers can run retrieval augmented generation (RAG) at any scale, without having to compromise cost or performance. Check it out!

Azure AI Search just got better! The latest update brings an increase in performance and support for larger vectorized indexes, all while keeping prices the same. Users can now expect: - 11x increase in vector index size - 6x increase in total storage - 2x improvement in indexing and query throughput. Check out the announcement to learn more: https://lnkd.in/dSbYWeZW #azureopenai #aoai #openai #llm #rag

We are thrilled to announce significant changes to Azure AI Search that will help organizations build and scale generative AI applications. With increased storage capacity and vector index size at no additional cost, Azure AI Search enables customers to run retrieval augmented generation (RAG) at any scale without compromising cost or performance. In this post, we will walk you through how you can achieve more scalability at a lower cost with today's changes, trust Azure AI Search to handle your large RAG workloads, and apply advanced search strategies to navigate complex data to innovate in ways previously unimaginable. To learn more about these exciting updates, check out the link below! https://lnkd.in/eCGSxJiq #RAG #VectorDB #AI #Search

We are thrilled to announce significant changes to Azure AI Search that will help organizations build and scale generative AI applications. With increased storage capacity and vector index size at no additional cost, Azure AI Search enables customers to run retrieval augmented generation (RAG) at any scale without compromising cost or performance. In this post, we will walk you through how you can achieve more scalability at a lower cost with today's changes, trust Azure AI Search to handle your large RAG workloads, and apply advanced search strategies to navigate complex data to innovate in ways previously unimaginable. To learn more about these exciting updates, check out the link below! https://lnkd.in/eCGSxJiq #MSFTAdvocate #RAG #VectorDB #AI #Search

🌟 Exciting News from Azure AI Search! 🌟 As we step into the era of production-grade generative AI applications in 2024, Azure AI Search is rolling out updates that usher in a new level of scale and cost-effectiveness, while maintaining a rich information retrieval system. Companies like OpenAI, Otto Group, KPMG, and PETRONAS already use Azure AI Search to support their retrieval augmented generation (RAG) workloads in production. Over half of Fortune 500 companies trust Azure AI Search to manage their mission critical enterprise search and generative AI applications. It's been fascinating to work with our partners and customers, watching them build some of the largest RAG applications on the planet with Azure AI Search. Announcement and details for how some of our customers are using Azure AI Search: https://lnkd.in/gEnP-NGw For all the details on expanded vector and storage capacity and new features: https://lnkd.in/gX7wAJKH #Azure #AI #MSFTadvocate

We are thrilled to announce significant changes to Azure AI Search that will help organizations build and scale generative AI applications. With increased storage capacity and vector index size at no additional cost, Azure AI Search enables customers to run retrieval augmented generation (RAG) at any scale without compromising cost or performance. In this post, we will walk you through how you can achieve more scalability at a lower cost with today's changes, trust Azure AI Search to handle your large RAG workloads, and apply advanced search strategies to navigate complex data to innovate in ways previously unimaginable. To learn more about these exciting updates, check out the link below! https://lnkd.in/eCGSxJiq #MSFTAdvocate #RAG #VectorDB #AI #Search

We are thrilled to announce significant changes to Azure AI Search that will help organizations build and scale generative AI applications. With increased storage capacity and vector index size at no additional cost, Azure AI Search enables customers to run retrieval augmented generation (RAG) at any scale without compromising cost or performance. In this post, we will walk you through how you can achieve more scalability at a lower cost with today's changes, trust Azure AI Search to handle your large RAG workloads, and apply advanced search strategies to navigate complex data to innovate in ways previously unimaginable. To learn more about these exciting updates, check out the link below! https://lnkd.in/eCGSxJiq #MSFTAdvocate #RAG #VectorDB #AI #Search