Ragie

As more companies continue to integrate AI, one of the biggest challenges for developers is to ensure that AI-generated content is accurate. This is where Retrieval Augmented Generation (RAG) comes in. By combining LLMs with real-time data retrieval, RAG helps make AI apps more reliable, context-aware, and accurate—all while reducing hallucinations ?? In our latest blog, we explore: * What is RAG, and why it’s a crucial ingredient for AI development * How RAG can improve response accuracy and reduce hallucinations * The benefits of using Ragie, our fully managed RAG-as-a-Service platform, to simplify the process If you're building AI apps and want to ensure they deliver smarter, more accurate content, check out the blog: https://lnkd.in/gDWJuaqY

We’ve just launched our latest integration that makes it easier than ever to add RAG to your LangChain-powered apps. If you're looking to enhance your AI applications with smarter, more accurate data retrieval, this update is for you! Try it out —> https://lnkd.in/dycjHyBB

Co-founder and CTO Mohammed Rafiq breaks down how we help our customers solve the "document affinity" problem that is common to RAG applications using our Advanced Summary Index in his latest blog post: https://lnkd.in/eretaHPn

A developer in the Reddit RAG community evaluated a number of RAG-as-a-Service providers including Ragie. Excited to see that we came out as one of the top ones! Its no surprise to us. We hear this from multiple customers that Ragie's data extraction and retrieval quality is one of the best. https://lnkd.in/gF5TwrZg

Ragie is live on Product Hunt today! Your support today would mean the world to us as we've been working incredibly hard to get to this point. Please take a look and support our launch here: https://lnkd.in/gKNCN6Jp