Pinecone
A managed vector database that stores and searches embeddings for AI apps like semantic search, recommendations, and RAG systems.
What is Pinecone?
Pinecone is a cloud-native vector database that stores and searches high-dimensional embeddings for AI applications.
Instead of exact keyword matches, it finds similar items based on meaning. When you embed text, images, or audio into vectors, Pinecone handles the storage and retrieval.
Most builders use it for semantic search, recommendation engines, and RAG (Retrieval-Augmented Generation) systems where you need to find relevant context from large datasets. It integrates with LangChain, OpenAI, and other AI tools.
Offers a free tier with 100K vectors. Paid plans start at $70/month for production workloads. Serverless architecture means you pay for what you use.
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Related Terms
A specialized database that stores data as mathematical vectors (embeddings) to enable fast semantic search and AI-powered similarity matching.
The bite-sized chunks of text that AI models read and generate, like words or word fragments. They're how AI counts and processes language.
A set of rules that lets different software programs talk to each other and share data or functionality.
A trained algorithm that takes inputs (text, images, data) and produces outputs (predictions, classifications, generated content).
Computer systems that learn from data and perform tasks that typically require human intelligence, like recognizing patterns and making decisions.
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