Back to Browse

Deep Dive into HNSW Architecture: Solving Problems with MongoDB Vector Search

6.5K views
Streamed live on Oct 10, 2023
58:29

There’s a new MongoDB YouTube channel dedicated to developers. Click the link to find new tutorials and resources to help you learn the MongoDB data platform: https://www.youtube.com/@MongoDBDevelopers ✅ Sign-up for a free cluster at → https://mdb.link/free-vs-3 ✅ Get help on our Community Forums → https://mdb.link/community-vs-3 In this livestream, will be doing a deep dive on the Hierarchical Navigable Small World (HNSW) architecture. We will discuss what problems it aims to solve, how it is built, how it is queried, and different approaches to improve on it that are being explored. 📚 Resources 📚 ✅ MongoDB Vector Search → https://mdb.link/vector-search-3 ✅ Code: https://github.com/hweller1/sample_atlas_vector_search_notebooks ✅ knnBeta Docs: https://mdb.link/knnbeta-vs-3 ------ ✅ Subscribe to our channel → https://mdb.link/subscribe #MongoDB #VectorSearch #AI

Download

1 formats

Video Formats

360pmp4113.1 MB

Right-click 'Download' and select 'Save Link As' if the file opens in a new tab.

Deep Dive into HNSW Architecture: Solving Problems with MongoDB Vector Search | NatokHD