Pinecone Systems, Inc.


Pinecone Systems, Inc.

Build GenAI, RAG, and semantic search applications with a developer-favorite vector database

Pinecone is the most popular 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.

This workflow is called Retrieval Augmented Generation (RAG), and with Pinecone’s vector database, it aids in providing relevant, accurate, and fast responses from search or GenAI applications to end users.

Vector databases are purpose-built for storing and searching through vector embeddings — AI representations of data. This method of information retrieval (IR) is called vector search. Vector search is the new standard for finding the most relevant data for GenAI applications or any kind of search application.

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Billing: Charges are calculated by pod price multiplied by pod count. Invoices reflect total index runtime, rounded to 15-minute increments.

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  • Developer-favorite vector database that’s easy to use at any scale, with a large user community. Fully managed vector database with intuitive API, console, and SDKs.

  • Best-in-class performance, cost-efficiency, scalability, and functionality. Fast vector search with filtering, live index updates, and keyword boosting (hybrid search).

  • The most popular vector database for AI search, recommenders, and Retrieval Augmented Generation (RAG) applications.

  • Enterprise-grade security and compliance: SOC 2 Type II and HIPAA certified.

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Pinecone Overview

Pinecone Pricing