Azure SQL Unlocks Native Vector Support for Advanced AI Applications Native vector support in Azure SQL allows you to harness artificial intelligence within your trusted database environment with no extra infrastructure or complex integrations. This powerful update ena... agentic workflows AI applications Azure SQL database innovation enterprise AI RAG semantic search vector search
LangChain and Tensorlake Are Transforming Agent Workflows With the integration of LangChain and Tensorlake, AI agents that don't get stumped by complex PDFs, messy scans, or handwritten forms may just be a click away. Developers can finally equip their intel... AI agents document parsing LangChain legal tech RAG signature detection Tensorlake workflow automation
Platform Showdown: Choosing the Right Automation and AI Development Solution The landscape of automation and AI development is rapidly evolving. As organizations look to streamline operations and harness AI, selecting the right platform becomes a pivotal decision. Four leading... ai agents automation low-code platform comparison RAG serverless visual development workflow
Unlocking Accuracy in RAG: The Crucial Role of Sufficient Context When it comes to reducing hallucinations and improving accuracy in large language models (LLMs), the focus is shifting from mere relevance to the concept of sufficient context . Rather than simply ret... AI safety Google Research hallucinations LLMs RAG retrieval systems sufficient context