Vector embeddings are produced by foundational models such as OpenAI's ChatGPT and are used to represent chunks of language – like words or phrases. The idea is to add vector search to a database, ...

Today's AI applications — like generative AI, hybrid search, retrieval-augmented generation (RAG) and recommendation engines — rely heavily on vector databases to find patterns in massive ...