Semantic Search Scaling

This post details how Cohere's semantic search capabilities can be scaled using Pinecone as a vector database. It covers the architectural considerations, performance optimizations, and best practices for integrating Cohere's embedding models with Pinecone for efficient large-scale semantic search applications. The focus is on building robust and scalable solutions for retrieving information based on semantic meaning rather than keyword matching.