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



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

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

✅ 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 📚

✅ Atlas 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

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#MongoDB #VectorSearch #AI

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