Rewriting a high performance vector database in Rust

This post details the engineering team's experience rewriting Pinecone's vector database from Python and C++ to Rust. It covers the rationale for choosing Rust (performance, memory management, ease of use), the implementation of continuous benchmarking using Criterion to identify performance regressions, and the development of an observability layer with custom macros for metrics (OpenMetrics) and tracing (OpenTelemetry). It also discusses performance optimizations achieved through Rust's access to low-level instruction sets (e.g., AVX-512), memory layout improvements, and strategies for running asynchronous and CPU-intensive tasks using Tokio, spawn_blocking, Rayon, and MPSC channels.