PineconeTranslation site

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Pinecone is a leading cloud-based vector database that provides efficient and scalable vector storage and retrieval services for AI applications, helping developers achieve "AI long-term memory" for scenarios such as intelligent search, RAG, and recommendation.

Location:
United States, Israel
Language:
en
Collection time:
2025-11-15
PineconePinecone

Pinecone It is a world-leading vector database platform, providing...AI applications provide a high-performance, highly available "memory engine".“It focuses on the storage and retrieval of high-dimensional vector data, supports mainstream large-scale embedding models, and boasts fully managed cloud services, enterprise-grade security, and elastic scalability. Pinecone offers flexible pricing plans, making it easy for developers and enterprises to implement core applications such as intelligent search, recommendation systems, and RAG.

In today's rapidly developing wave of artificial intelligence...Vector DatabaseIt has become a key infrastructure for building efficient and intelligent AI applications.Pinecone As a leading global vector database platform, Pinecone is redefining the implementation of intelligent search, recommendation systems, and intelligent assistants, helping enterprises and developers create high-performance, stable, and reliable AI products. This article will provide an in-depth analysis of Pinecone's platform highlights, pricing plans, application scenarios, and industry value from a news reporting perspective, and will also guide developers on how to get started quickly.


What is Pinecone? — Empowering AI with Memory“

Founded in 2019 by former AWS Research Director Edo Liberty, Pinecone is dedicated to "giving knowledge to AI" and focuses on... Storage, indexing, and real-time retrieval of high-dimensional vector dataIt has become a "long-term memory" repository for fields such as large models, RAG (retrieval augmentation generation), and semantic search.

 Pinecone official website
Photo/Pinecone official website

Unlike traditional databases, Pinecone is optimized around "vector embedding," allowing for efficient storage and retrieval of embedded vectors, regardless of whether the data is text, images, audio, code, or multimodal data. This is why industry giants such as OpenAI, Spotify, Zapier, and Notion have chosen to trust Pinecone.

Related links:Pinecone official websitePinecone GitHubOfficial documentation


Pinecone's main functions

Fully managed, high performance

  • Zero maintenance:It provides fully managed cloud services, eliminating the need to worry about underlying deployment and expansion.
  • Multi-cloud (AWS/Azure/GCP) and multi-region options, with robust access control and compliance authentication.
  • Supports horizontal elastic scaling; single database manageable.Billions of vectors

Excellent vector retrieval capabilities

  • Sub-second low latencyHigh-precision ANN retrieval.
  • It connects to mainstream embedding models, enabling one-click vector generation and management.
  • Intelligent reranking improves search quality.
Pinecone product interface
Photo/Pinecone product interface

Rich development toolchain

  • Multi-language SDK (Python/Java/Go/TS), supports AI writing tools 框架如 LangChain、HuggingFace。
  • RESTful API for batch/real-time import and export.
  • Strong observability, compatible with Prometheus and Datadog.

View more product features

Functional modulesdescribeApplicable Plan
Fully Managed Cloud ServicesZero maintenance, 24/7 health checks, and flexible scaling.all
High-speed vector searchHundreds of millions of data points, millisecond-level response timeall
API/SDKMultilingual support & AI framework integrationall
Access controlRBAC (Multi-Factor, Encryption, SSO)Standard and above
Cloudy/Multi-regionAWS/Azure/GCP Multiple ZonesStandard and above
Enterprise compliance/securityHIPAA, SOC2, GDPREnterprise Edition
Monitoring toolsPrometheus/Datadog supportStandard and above
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Pinecone Pricing & Plans

Pinecone offers flexible billing and supports...Pay-as-you-go + minimum spend + free trialSuitable for teams of different sizes. A comparison of the main versions is as follows:

VersionMonthly LowestStorage (GB/month)Write (millions)Read (millions)Project/User RestrictionsSupport/Compliance
Starter$02GB211 project / 2 users / 5 indexesAWS us-east-1 only
Standard$50$0.33/GB$4$1620 items / 20 indexesSSO/Automatic Backup
Enterprise$500$0.33/GB$6$24100 items / 200 indexesPrivate network/compliance
Dedicatedcustom madecustom madecustom madecustom madePrivate cloud/self-hostedExclusive service
Official paid plan page
Photo/Official paid plan page
  • The free plan includes 2GB of storage, 2MB write speed, and 1MB read speed, monthly. 5M Free Embedding Tokens
  • The paid version supports object storage, backup, dedicated support, and higher quotas.
  • Enterprise/Dedicated Support: Customized, Private, SLA-based

For detailed pricing information, please visit the Pinecone website.


How to use Pinecone

Quick integration steps

  1. Register an account and obtain an API Key
  2. Create an index and set the dimensions (e.g., 1536).
  3. Import embedding data via SDK or API
  4. Call the retrieval interface to implement vector similarity search, RAG, recommendation, etc.
  5. Monitor quotas and health status, automatically expand capacity and trigger alarms.

SDK Support List

Official documentation
Photo/Official documentation
languageSDK nameaddress
Pythonpinecone-python-clientGitHub
Javapinecone-java-clientGitHub
Golanggo-pineconeGitHub
TypeScriptpinecone-ts-clientGitHub

Pinecone is suitable for:

  • AI startups:Intelligent search, AI assistant, content generation, etc.
  • Medium and large enterprises:Recommendation systems, knowledge bases, and intelligent customer service
  • Research teams, universities, and independent developers
  • System Integrator/SI
Pinecone Client Case Page
Photo/Pinecone Client Case Page

Case studies are available for reference.Pinecone Client Case Page


Typical application scenarios and industry value

AI Search and Semantic Retrieval

  • Intelligent search of text, code, and documents
  • Personalized recommendations for e-commerce and content platforms
  • Intelligent customer service robot, supporting RAG enhanced knowledge base

Enterprise-level knowledge base, multimodal search

  • Accurately match internal documents, FAQs, emails, etc.
  • It also supports image and audio embedding retrieval.

Financial risk control and security

  • Real-time fraud detection based on embedding

Log analysis and monitoring

  • Using vector clustering to analyze large-scale log data
Official research blog
Photo/Official research blog

Technology Comparison

planPineconeFaissWeaviateMilvus
Operation and maintenance typeFull-serviceSelf-builtHosting/Self-builtHosting/Self-built
Multi-cloud supportSupports (AWS/Azure/GCP)Self-builtMulti-cloud + self-builtMulti-cloud + self-built
performance100 million-level search / low latencyHigh performance (self-tuning)High-performance/knowledge reasoningHigh performance/multi-index
Ecological integrationLLMs/Mainstream AI FrameworksOpenAI paired withLLM/Graph DatabaseLLM/Graph Database
Compliance supportFull certification and enterprise-level supportSelf-built requiredCompleteComplete

Frequently Asked Questions (FAQ)

What are the limitations of Pinecone's free plan?

  • The Starter version only supports AWS us-east-1 region.
  • Indexes, projects, and quotas are limited, making it suitable for testing.
  • Upgrade to Standard/Enterprise Edition if you require a higher quota

How to connect to mainstream AI/LLM large models?

  • Supports mainstream embedding technologies such as OpenAI, Cohere, Mistral, and LangChain.
  • One-click integration; complete sample code is available on the official website.
Community support
Photo/Community support

Does it support self-hosting or dedicated cloud?

  • Enterprise/Dedicated solutions offer customizable private deployment and security policies.

See more FAQs Pinecone Help CenterCommunity support


along with AI-enhanced search generation (RAG)With its explosive growth in scenarios such as multimodal search, Pinecone is continuously helping various industries unlock the value of data intelligence with its "high-performance vector database." If you aspire to give AI true "memory," welcome to visit... Pinecone official website Experience the limitless potential of intelligence!

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data statistics

Data evaluation

PineconeThe number of visitors has reached 13. If you need to check the site's ranking information, you can click "..."."5118 Data""Aizhan Data""Chinaz data""Based on current website data, we recommend using Aizhan data as a reference. More website value assessment factors include:"PineconeAccess speed, search engine indexing and volume, user experience, etc.; of course, to evaluate the value of a website, the most important thing is to base it on your own needs and requirements, and some specific data will need to be obtained from [research institutions/resources].PineconeWe will negotiate with the website owner to provide information such as the website's IP addresses, page views (PV), and bounce rate.

aboutPineconeSpecial Announcement

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