Pinecone
Pinecone Systems, Inc.
Pinecone
Pinecone Systems, Inc.
Pinecone
Pinecone Systems, Inc.
Build GenAI, RAG, and semantic search applications with a developer-favorite vector database
Pinecone is the most loved vector database, used by engineering teams to solve two of the biggest challenges in deploying GenAI solutions — data security and hallucinations — by allowing them to store, search, and find the most relevant information from company data and send only that context to Large Language Models (LLMs) with every query.
Click the blue Get It Now button above to start with Pinecone today!
Billing: With serverless indexes, you don’t configure or manage any compute or storage resources. Instead, based on a breakthrough architecture, serverless indexes scale automatically based on usage, and you pay only for the amount of data stored and operations performed, based on three usage metrics:
Read units (RUs): Read units measure the resources consumed by read operations such as query, fetch, and list.
Write units (WUs): Write units measure the resources used by write operations such as upsert, update, and delete.
Storage: The size of an index on a per-Gigabyte (GB) hourly rate.
Learn more about pricing at pinecone.io/pricing
Highlights:
- Fast, fresh, and filtered vector search: Low-latency, always-fresh vector search over a practically unlimited number of records. Get just the results you want with live index updates, metadata filtering, and namespaces.
- Fully managed and easy to use: Get started with a simple API or one of our many supported clients / SDKs
- With serverless indexes, you don’t configure or manage any compute or storage resources
- Pinecone is the most loved vector database among developers for AI search,,, Retrieval Augmented Generation (RAG), and classification and labeling applications.
- Enterprise-grade security and compliance: Pinecone is GDPR-ready, SOC2 Type II certified, HIPAA-compliant. Easily control and manage access within the console and SSO. Data is encrypted at rest and in transit.