Update Conference Prague 2024 - Supercharged Search with Semantic Search and Vector Embeddings
Abstract
Semantic search or search based on the meaning analyzes the context and intent behind the query term to provide relevant results. Using Vector embeddings, the data structure behind semantic search, you can supercharge your search to include text, images, and other types of data. With vector databases you can store and index vector embeddings and provide similarity search over these embeddings.
Join me for a demo-rich session and learn how to implement semantic search in .NET with PostgreSQL and Entity Framework Core.
Date
Nov 15, 2024 3:15 PM — 4:15 PM
