Blogs›Pinecone›AI Service Load Balancing
This post introduces a service-aware load balancer for Pinecone Assistant, designed to route requests across embeddings, rerankers, and LLMs. It employs a 'power of two choices' algorithm for adaptive routing without a global coordinator, enabling automatic failover during upstream incidents and reducing latency. Different scoring policies are used for different service types (embeddings/rerankers on latency+reliability, LLMs on reliability+load) to optimize performance and availability.
4/14/2026
Introduced a service-aware load balancer for Pinecone Assistant using the 'power of two choices' algorithm. Implemented distinct scoring policies for embeddings/rerankers (latency+reliability) and LLMs (reliability+load). Demonstrated improved latency and availability during upstream incidents through staged rollouts.