pinecone

What problem does it solve?

This Skill provides a fully managed, auto-scaling vector database solution for production AI applications, eliminating the need for infrastructure management and offering low-latency hybrid search capabilities.

Core Features & Use Cases

• Managed Vector Database: A serverless, SaaS offering for storing and querying vector embeddings.
• Hybrid Search: Combines dense (semantic) and sparse (keyword) vector search for improved accuracy.
• Use Case: Deploy a recommendation system that needs to handle millions of user-item vectors with sub-100ms query latency, or power a RAG system for enterprise search.

Quick Start

Use the pinecone skill to create a new index named 'my-rag-index' with a dimension of 1536 and cosine similarity in the 'us-east-1' region.