Introducing integrated inference: Embed, rerank, and retrieve your data with a single API

This post announces the General Availability (GA) of integrated inference capabilities within Pinecone, enabling users to embed, rerank, and query data through a single API. It introduces new Pinecone-developed models (pinecone-rerank-v0, pinecone-sparse-english-v0) and Cohere's rerank-v3.5, accessible via new database endpoints. The post highlights simplified integration, seamless scaling with token-based pricing, and enhanced security features like Private Endpoints, CMEK, and RBAC. It provides detailed Python SDK code examples for data preparation, index creation using the `create_index_for_model` endpoint with specified embedding models and field mapping, record upsertion using `upsert_records`, and querying with integrated reranking via `records/search`.