March 7, 2023, 3:30 p.m. | James Briggs

James Briggs www.youtube.com

In this video we'll build a search engine for the medical field using hybrid search with NLP information retrieval models.

We use hybrid search with sentence transformers and SPLADE for medical quesiton-answering. By using hybrid search we're able to search using both dense and sparse vectors. This allows us to cover semantics with the dense vectors, and features like exact matching and keyword search with the sparse vectors.

For the sparse vectors we use SPLADE. SPLADE is the first sparse …

embedding features hybrid information medical nlp python retrieval search search engine semantics transformers vectors video

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne