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.
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Quick Overview
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What it does
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Best fit
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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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Claim this listingKey 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
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
Limitations
Frequently Asked Questions
What is Pinecone?
How does Pinecone handle scaling?
Is Pinecone secure for enterprise use?
Can I use my own embeddings with Pinecone?
Does Pinecone support hybrid search?
Getting Started
- 1 Sign up or log in to the Pinecone platform.
- 2 Create your first vector index in seconds using the web interface or API.
- 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
API and SDK documentation available at https://docs.pinecone.io/docs/get-started/overview
Not explicitly stated in the available information.
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