Pinecone

What is Pinecone?

Pinecone is a vector database designed to make vector search fast and easy, transitioning it from research to production without the need for DevOps. It allows users to manage and search through vector embeddings to power semantic search, recommenders, and other applications that rely on relevant information retrieval. Pinecone offers a scalable solution for building knowledgeable AI, enabling users to search through billions of items for similar matches in milliseconds.

How to use Pinecone?

To use Pinecone, you first need to create vector embeddings. Then, you can manage and search through these embeddings using Pinecone’s API to power applications like semantic search and recommenders. The platform offers a quick setup and serverless scaling, allowing you to launch vector databases in seconds and adjust resources automatically.

Pinecone’s Core Features

Vector search Semantic search Hybrid search (sparse and dense embeddings) Real-time indexing Metadata filtering Serverless scaling Managed infrastructure

Pinecone’s Use Cases

• Semantic search
• Recommendation systems
• AI agents
• RAG (Retrieval Augmented Generation)
• Financial insights
• Molecule vector search