Pinecone is a native built 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.

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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.

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Pinecone Overview

Pinecone Pricing

PineconePinecone Systems, Inc.

Pinecone

Pinecone Systems, Inc.

Pinecone

Pinecone Systems, Inc.

Pinecone
Pinecone Systems, Inc.