Make Notion search great again: vector embeddings

In this series, we’re looking into the implementation of a vector index built from the contents of our company Notion pages that allow us not only to search for relevant information but also to enable a language model to directly answer our questions with Notion as its knowledge base. In this article, we will focus on the theory of vector embeddings.

Numbers, vectors, and charts are real data unless stated otherwise

Notion, with its infinite flexibility, is perfect for keeping …

ai article contents embeddings implementation index information knowledge knowledge base language language model notion openai questions search semanticsearch series vector vectordatabase vector embeddings