DiskANN Explained

What this post added

Introduces and explains the DiskANN index type for Milvus. Details its architecture, how it leverages SSDs for large-scale vector similarity search, and its trade-offs compared to in-memory methods. Explains the Vamana algorithm for graph construction and the use of product quantization for efficient search guidance. Provides Python code examples for creating collections with the DiskANN index and mentions tunable parameters.