Azure AI Search: Outperforming vector search with hybrid retrieval and reranking
How do you find the best content to feed your generative AI models? In this blog post, we show you how to use Azure AI Search's hybrid retrieval and semantic ranking features to improve relevance for retrieval-augmented generation scenarios.Introducing Azure AI Agent Service
Introducing Azure AI Agent Service at Microsoft Ignite 2024 Discover how Azure AI Agent Service is revolutionizing the development and deployment of AI agents. This service empowers developers to build, deploy, and scale high-quality AI agents tailored to business needs within hours. With features like rapid development, extensive data connections, flexible model selection, and enterprise-grade security, Azure AI Agent Service sets a new standard in AI automationIntroducing the “Chat with your data” solution accelerator – now available on GitHub
Introducing the "Chat with your data" solution accelerator! This GitHub repository offers a template for end-to-end Retrieval-Augmented Generation (RAG) pattern implementation using Azure AI Search (formerly Azure Cognitive Search) and the powerful ChatGPT model in Azure OpenAI Service. Discover the key features, including context-aware conversations, customizable experiences, and flexible deployment. Get started today and unlock the power of RAG pattern implementation with the "Chat with your data" solution accelerator!Build Intelligent RAG For Multimodality and Complex Document Structure
Struggling with implementing RAG for Document with multiples Tables, Figures , Plots with complex structured scan documents, Looking for a solution? In this blog you will learn implementing end to end solution using Azure AI services including Document Intelligence, AI Search, Azure Open AI and our favorite LangChain 🙂 I have taken the advantage of Multimodal capability of Azure OpenAI GPT-4-Vision model for Figures and Plots.
