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Great to see another ANN tool available. FAISS and SPTAG were good, but this appears to be much better. Not sure if this supports "online" learning i.e. is a tr
by bobosha 7y ago
Great to see another ANN tool available. FAISS and SPTAG were good, but this appears to be much better. Not sure if this supports "online" learning i.e. is a training phase required?
- IfOnlyYouKnew 7y agoYes on online learning, as I gather from the comparison at https://milvus.io/docs/v0.6.0/about_milvus/vector_db.md https://milvus.io/docs/v0.6.0/about_milvus/vector_db.md
- gujun720 7y agoPlease check https://medium.com/@milvusio/managing-data-in-massive-scale-vector-search-engine-db2e8941ce2f https://medium.com/@milvusio/managing-data-in-massive-scale-... It explains how Milvus managing vectors.
- ffast-math 7y ago> "As each vector takes 2 KB space, the minimum storage space for 100 million vectors is about 200 GB" Why are you not quantizing the vectors when you insert them? Bolt [1] and Quicker-ADC [2] make 10-100x compression basically free for approximate search (and also get you ~100x compression roughly 10x faster querying within a partition....) [1] https://github.com/dblalock/bolt https://github.com/dblalock/bolt [2] https://github.com/technicolor-research/faiss-quickeradc https://github.com/technicolor-research/faiss-quickeradc
- gujun720 7y ago200 GB is the size of original vectors. When creating index, Milvus supports IVF SQ8 and IVF PQ ADC. Based on our users experience, SQ8 is the most balanced one at this moment. SQ8 provides 8x compression, higher accuracy and better performance.