Keywords: Vector Index
We got requirement for supporting ScaNN index in Milvus. This proposal is about how to integrate a new index into knowhere and expose it to client.
Document about how knowhere works in milvus v1.x: m1_chain.pdf
Docement about how knowhere works in milvus v2.0: TODO
Google recently released a new algorithm to find Approximate Nearest Neighbors called ScaNN. They show through benchmarks that it can perform significantly better than the existing solutions like Annoy, FAISS, hnsw. The goal is to add support for ScaNN algorithm to the list of Milvus supported indexes.
Follwing public interfaces would be updated in knowhere =>
As part of third party library, we will have to add a new library for ScaNN. This directory here: https://github.com/google-research/google-research/tree/master/scann/scann/scann_ops contains APIs for build/search etc. Also, ScaNN uses Bazel as it's dependency management while we would need to use CMake.
We will create new wrapper classes called IndexScann.h and IndexScann.cpp in knowhere.
IndexScann.cpp would be the implementation of IndexScann.h.
ConfAdapter.cpp/ConfAdapter.go: Add conf adapters for ScaNN params(described above)
Compatibility, Deprecation, and Migration Plan