Why A Vector Database Is Critical For Your Generative AI Strategy
ETCIO.com, Saturday, November 11,2023
​​Vector databases are designed for efficient storage, retrieval and similarity search of vector data and are a key building block for generative AI systems.
Ever wondered how generative AI chatbots like ChatGPT or Bard figure out what you're asking and what to respond back to you with? To generate something new (a new chat message or image), an AI application must understand what is closest or most similar to information it already knows. This is accomplished with vector similarity search. If you're unfamiliar with vectors, just know that unstructured data such as text, images or audio/video can be converted (using transformer models) into numerical form, called vector embeddings.