An Embedding is a numerical representation (a vector) of data – typically text – that mathematically encodes the content’s meaning and context. It is the language that AI uses to understand similarity. Phrases with similar meaning will have embeddings that are numerically close together.
Spiral Scout utilizes embeddings to power Semantic Search and RAG capabilities, enabling agents to quickly retrieve relevant knowledge based on conceptual meaning rather than just keyword matches.
Many companies struggle with AI implementation not because of technology, but because their processes are messy. By adopting agent workflow design best practices, leveraging AI consulting for businesses, and using modern AI agent software and AI agent tools, you can transform unclear workflows into scalable, structured AI systems. This post shows how to map your team’s […]
Most of us see and read about the breakneck speed at which the landscape of artificial intelligence and software development has evolved. Most likely, you are dizzy from all the news and releases. Well, today we will describe a new approach that is emerging—one that leverages AI and self-modifying coding agents which are capable of […]
At Spiral Scout, our vision is to see every great idea have the best chance to come to life. That’s why we pair the world’s top software engineers with ambitious organizations—big and small—to scout and solve problems through innovation.
