This article shares what we learned while building GreenBull, an AI system for real-time investment insights. Instead of focusing on the tool itself, it looks at the design choices that made the ...

Search has gone through serious transformations over the years, all while maintaining its significance in even the most advanced eras of tech. With new iterations comes new methods of optimization, ...

As more organizations implement large language models (LLMs) into their products and services, the first step is to understand that LLMs need a robust and scalable data infrastructure capable of ...

Mandar Khoje is an Engineering Leader at Moveworks, leading Data Platform teams and based in the San Francisco Bay Area. The conversational capabilities of large language models (LLMs) are reshaping ...

RAG is an approach that combines Gen AI LLMs with information retrieval techniques. Essentially, RAG allows LLMs to access external knowledge stored in databases, documents, and other information ...

Structure content for AI search so it’s easy for LLMs to cite. Use clarity, formatting, and hierarchy to improve your visibility in AI results. In the SEO world, when we talk about how to structure ...

"Data is the new oil," an adage coined by British data scientist Clive Humby back in the distant year 2006, has only gained in popularity in the last few years thanks to the generative AI boom. But if ...

Large Language Models (LLMs) have driven huge efficiencies and opened up new streams of innovation for a range of businesses, yet they have also given rise to significant concerns around privacy and ...

There’s an important shift happening in the world of large language models (LLMs)—one that could redefine how we interact with artificial intelligence. And the answer, previewed today by OpenAi, might ...

LLMs still rely on search, shifting SEO from head terms to the long tail. Here’s how to use AI to uncover real customer questions and win.