This is the repository for the DataCamp course Introduction to Embeddings with the OpenAI API. The full course is available from DataCamp.

Text embedding models create numerical representations from text inputs. This ability to encode text and capture its semantic meaning means that embedding models underpin many types of AI applications, like semantic search engines and recommendation engines. In this course, you'll learn how to harness OpenAI's Embeddings model via the OpenAI API to create embeddings from text datasets and begin developing real-world applications. You'll also take a big step towards creating production-ready applications by learning about vector databases to efficiently store and query embedded texts.

Emmanuel Pire

Senior Software Engineer, DataCamp