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, ...

The engineers developed a Text-to-SQL framework by combining techniques such as prompt engineering, RAG, and vector databases ...