MongoDB Vector Search with Ben Flast
Software Engineering Daily
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Efficient Vector Search Techniques
This chapter explores the intricacies of vector search, emphasizing the calculation of distances between vectors using both exact and approximate nearest neighbor approaches. It highlights the innovative use of the Hierarchical Navigable Small Worlds Graph (HNSW) for optimizing searches within large databases like MongoDB, making vector search highly efficient. Additionally, the chapter discusses the growing significance of vector search in AI applications and the integration of traditional and modern search methods for improved performance.
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