As generative Artificial Intelligence is surging in recent times, vector databases are in high demands in this era. It is represented in the industry newsletter: TheAiEdge.io
The purpose of vector db is to index the data with vectors that relate to that data. Hierarchical Navigable Small World (HNSW) is one of the most efficient ways to build indexes for vector databases. It builds a similarity graph and traverse that graph to find the nodes, which are the closest to a query vector.
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