Introducing Pinecone Inference to streamline your AI workflow
Jul 9, 2024Gibbs Cullen
Summary
This post introduces Pinecone Inference, a new API for low-latency access to embedding and reranking models hosted on Pinecone's infrastructure. It highlights the `multilingual-e5-large` model as the initial offering, detailing its characteristics and providing a Python code example for generating embeddings. The post emphasizes the benefit of a single API for embedding, managing, and querying vector data, reducing complexity for AI application development. It also mentions pricing details and future plans for additional models and reranking capabilities.
More from the Integrated Inference for Embeddings trail
- Simplifying Vector Embeddings with Pinecone Integrated Inference Capabilities
- Retrieval Inference for scale and performance
- Introducing Pinecone Rerank V0
- Introducing integrated inference: Embed, rerank, and retrieve your data with a single API
- Introducing reranking to Pinecone Inference to simplify building accurate AI