pinecone

pinecone

Pinecone is a fully managed, serverless vector database designed to build knowledgeable AI applications at scale, delivering relevant and precise search results with high performance and reliability.

pinecone is developer tools software teams evaluate for developer tools. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Freemium API Enterprise 75/100
#127 in Developer Tools (127 tools)
Added 0 year ago
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Quick Overview

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What it does

Developer Tools software for decision-makers comparing workflow fit and alternatives.

Best fit

Developer Tools

Pricing snapshot

Freemium from Pricing based on usage; start with a free tier and scale as needed.

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pinecone

Pinecone is a purpose-built vector database that enables developers and enterprises to build knowledgeable AI applications by providing fast, scalable, and relevant vector search capabilities. It supports real-time indexing, hybrid search combining sparse and dense embeddings, and advanced retrieval features to maximize recall and precision. Designed for effortless scaling, Pinecone is fully managed and serverless, allowing resources to automatically adjust to demand. Trusted by innovative companies worldwide, it supports mission-critical applications with strong reliability and security compliance.

Vector database for fast and easy vector search in production.

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Key Features

Fully Managed and Serverless

Launch vector databases in seconds with automatic scaling to meet demand without manual intervention.

Advanced Retrieval Capabilities

Includes embeddings from hosted models or custom vectors, optimized recall algorithms, metadata filters, and real-time indexing.

Hybrid Search Support

Combines sparse and dense embeddings for more robust and accurate search experiences.

Namespaces

Create data partitions to ensure tenant isolation and multi-tenancy support.

Security and Compliance

Offers encryption at rest and in transit, hierarchical encryption keys, private networking, and certifications including SOC 2, GDPR, ISO 27001, and HIPAA.

Enterprise-Ready

Provides uptime SLAs, support SLAs, observability, and options for privately managed cloud regions.

Integration Ecosystem

Works seamlessly with major cloud providers, data sources, AI models, and frameworks.

Pricing

Free Tier Available

Create your first index for free to start building and testing before scaling.

Pay-as-you-go

Pricing based on usage; start with a free tier and scale as needed.
  • Create your first index for free
  • Pay only for what you use

Use Cases

Recommendations

Enables efficient vector searches to power personalized recommendations, such as Gong's Smart Trackers for conversation concept tracking.

Search

Improves customer support search accuracy and speed, exemplified by Vanguard's use of hybrid retrieval to boost response accuracy by 12%.

Agents

Supports hybrid search to optimize cost and performance for enterprises with extensive documentation or smaller companies.

Retrieval-Augmented Generation (RAG)

Facilitates democratized data accessibility for engineers with serverless architecture to unlock AI potential.

Integrations

AWS

Seamless integration with Amazon Web Services cloud infrastructure.

Azure

Integration with Microsoft Azure cloud services.

Google Cloud Platform

Support for Google Cloud infrastructure.

OpenAI

Use OpenAI models for embeddings and AI capabilities.

Cohere

Integration with Cohere's language models.

Hugging Face

Support for Hugging Face inference endpoints.

LangChain

Integration with LangChain framework for building language model applications.

Amazon Bedrock

Integration with Amazon Bedrock for foundation models.

Snowflake

Data integration with Snowflake data platform.

Datadog

Monitoring and observability integration with Datadog.

New Relic

Performance monitoring integration.

Airbyte

Data integration and ETL support.

Anyscale

Integration with Anyscale for scalable AI applications.

Databricks

Integration with Databricks analytics platform.

Elasticsearch

Search integration with Elasticsearch.

GitHub Copilot

Integration with GitHub Copilot for developer assistance.

Jina

Integration with Jina AI for neural search.

Pulumi

Infrastructure as code integration.

NVIDIA

Support for NVIDIA models like LLaMA text embed v2.

Terraform

Infrastructure provisioning integration.

Vercel

Integration with Vercel for frontend deployment.

Benefits

Effortless scaling with fully managed, serverless infrastructure.
High precision and recall in search results through advanced retrieval and hybrid search.
Strong security and compliance certifications for enterprise readiness.

Limitations

No detailed pricing tiers publicly available beyond pay-as-you-go and free tier.
Limited information on offline or on-premises deployment options.

Frequently Asked Questions

What is Pinecone?
Pinecone is a fully managed vector database designed to enable fast, scalable, and relevant vector search for AI applications.
How does Pinecone handle scaling?
Pinecone is serverless and fully managed, automatically adjusting resources to meet your application's demand.
Is Pinecone secure for enterprise use?
Yes, Pinecone offers encryption at rest and in transit, private networking, and is certified for SOC 2, GDPR, ISO 27001, and HIPAA compliance.
Can I use my own embeddings with Pinecone?
Yes, you can bring your own vectors or use Pinecone's hosted embedding models.
Does Pinecone support hybrid search?
Yes, Pinecone supports hybrid search combining sparse and dense embeddings for improved search accuracy.

Getting Started

  1. 1 Sign up or log in to the Pinecone platform.
  2. 2 Create your first vector index in seconds using the web interface or API.
  3. 3 Integrate Pinecone with your application using the provided SDKs and sample code.

Support

Email/Contact Form

Contact via https://www.pinecone.io/contact/ for sales and support inquiries.

Documentation

Comprehensive docs available at https://docs.pinecone.io/

Community Forum

Engage with the community at https://community.pinecone.io/

Blog

Access updates and tutorials at https://www.pinecone.io/blog/

API

Available: Yes
Documentation:

API and SDK documentation available at https://docs.pinecone.io/docs/get-started/overview

Rate Limits:

Not explicitly stated in the available information.

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