What Is a Vector Database — and Why Does AI Need One?
Vector databases store AI embeddings and search by meaning rather than keywords. Here is how they work, and why they power tools like RAG-based chatbots and semantic search.
Read more →Retrieval-Augmented Generation (RAG)
Retrieval-Augmented Generation (RAG) connects a large language model to your own documents so it answers from verified sources instead of guessing. This hub explains how RAG works and where businesses use it.
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What Is RAG (Retrieval-Augmented Generation) — and Why Do Businesses Use It?
RAG connects a large language model to your own documents so it answers from verified sources instead of guessing. Here is how it works, where it is used, and how to get started.
Read more →