Pinecone
The vector database to build knowledgeable AI applications.
Customers
9,000+
Series B Funding
$100M
Free Tier
Available
About Pinecone
Pinecone is a fully managed vector database that makes it easy to build and scale AI applications requiring large-scale vector search. It simplifies the infrastructure challenges of managing vector embeddings, offering low-latency search, metadata filtering, and horizontal scaling. Developers use Pinecone to power a variety of applications, including retrieval-augmented generation (RAG) for chatbots and AI agents, semantic text search, recommendation engines, and threat detection. Its serverless architecture and simple API allow for quick integration, enabling teams to move from prototype to production without needing to manage complex database infrastructure.
Core Features
Vector Search
Provides low-latency, high-accuracy similarity search for high-dimensional vector embeddings.
Metadata Filtering
Combines vector search with metadata filters (boolean, numeric, string) for more relevant, real-time results.
Fully Managed Service
Handles all infrastructure, including scaling, backups, and security, allowing developers to focus on application logic.
Serverless Architecture
Separates compute and storage, offering usage-based costs and scaling on demand without provisioning.
Common Use Cases
Retrieval-Augmented Generation (Rag)
Provides long-term memory for Large Language Models (LLMs) to deliver more accurate and relevant responses.
Semantic Search
Enables search based on meaning and context rather than just keywords.
Recommendation Systems
Powers real-time product, content, or user recommendations based on similarity.
Anomaly & Threat Detection
Identifies unusual patterns in data for security and operational monitoring.