[KongchangAI]
ConceptInverted File with Product Quantization

IVF-PQ

An approximate nearest neighbor (ANN) indexing method that combines an inverted index with product quantization. By partitioning the vector space into multiple clusters (inverted files) and applying product quantization to sub-vectors for compression, it achieves fast approximate vector retrieval while significantly reducing memory usage, making it suitable for large-scale vector scenarios.

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Oct 14

The core trade-off of ANN indexes (such as HNSW, IVF-PQ) lies in the triangular relationship among recall, memory and build time.

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