Tag: vector search
An Overview of Retrieval-Augmented Generation (RAG)
What Is Retrieval-Augmented Generation? There’s no doubt that large language models (LLMs) have transformed natural language processing, but at times, they can be inconsistent, random, or even plain wrong in the responses they deliver to a prompt. While this can...
What are Vector Embeddings?
Vector embeddings are a critical component in machine learning that convert “high-dimensional” information, such as text or images, into a structured vector space. This process enables the ability to process and identify related data more effectively by representing it as...
A Guide to Generative AI Development
This blog post will provide you with insights and best practices for developing generative AI solutions. By the end of this guide, you’ll have a clear understanding of what generative AI entails, how it works, use cases, benefits, required tech...
Unlocking Next-Level Search: The Power of Vector Databases
Introduction to Vector Databases These days, you can’t go anywhere without hearing about the latest breakthroughs in artificial intelligence (AI). The concept may feel overwhelming if you haven’t incorporated AI into your platform, but it’s much easier to understand than...