Search⌘ K
AI Features

Embeddings and Vector Search with LanceDB

Explore how pretrained language models create dense vector embeddings to identify similar records programmatically. Understand using LanceDB to efficiently index and search vectors, enabling scalable entity resolution without exhaustive pairwise comparisons.

We can leverage pretrained LLM and the latest innovations in vector databases to efficiently index even unstructured records before pairwise matching. Let’s start with the following toy ...