📝 Guest Post: Choosing the Right Vector Index For Your Project*
thesequence.substack.com
In this post, Frank Liu. ML Architect at Zilliz, discusses vector databases and different indexing strategies for approximate nearest neighbor search. The options mentioned include brute-force search, inverted file index, scalar quantization, product quantization, HNSW, and Annoy. Liu emphasizes the importance of considering application requirements when choosing the appropriate index.
📝 Guest Post: Choosing the Right Vector Index For Your Project*
…
📝 Guest Post: Choosing the Right Vector Index For Your Project*
In this post, Frank Liu. ML Architect at Zilliz, discusses vector databases and different indexing strategies for approximate nearest neighbor search. The options mentioned include brute-force search, inverted file index, scalar quantization, product quantization, HNSW, and Annoy. Liu emphasizes the importance of considering application requirements when choosing the appropriate index.