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GuidesRecipesAPI Reference🏠 Home📑 Guides🛠️ API Reference✔️ Examples📓 Libraries

Getting started

  • Overview
  • Quickstart
  • Authentication
  • Examples
  • Choosing index type and size

organizations

  • Understanding organizations
  • Managing cost
    • Understanding cost
    • Monitoring your usage
  • Manage billing
    • Understanding subscription status
    • Changing your billing plan
    • Setting up billing through AWS Marketplace
    • Setting up billing through GCP Marketplace

projects

  • Understanding projects
  • Create a project
  • Add users to projects and organizations
  • Change project pod limit
  • Rename a project
  • gcp-starter environment

indexes

  • Understanding indexes
  • Manage indexes
  • Scale indexes
  • Understanding collections
  • Back up indexes

DATA

  • Insert data
  • Manage data
  • Query data
  • Filtering with metadata
  • Using namespaces
  • Manage datasets
    • Using public Pinecone datasets
    • Pinecone public datasets
    • Creating and loading private datasets
  • Hybrid search and sparse vectors
    • Understanding hybrid search
    • Sparse-dense vectors
    • Weighting sparse and dense vectorss

operations

  • Understanding multitenancy
  • Monitoring
  • Performance tuning
  • Troubleshooting
  • Moving to production

Integrations

  • OpenAI
  • Cohere
  • Haystack
  • Hugging Face Inference Endpoints
  • Elasticsearch
  • Databricks
  • LangChain
  • Amazon SageMaker
  • Datadog
  • TruLens
  • Amazon Bedrock

reference

  • Python Client
  • Node.JS Client
  • Limits
  • Release notes
  • Libraries
  • Architecture

Support

  • Support Forum
  • Support Portal
  • Status
  • Security

Manage datasets

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Overview

This category contains concept topics and guides for tasks related to Pinecone datasets.

Concepts

  • Pinecone public datasets

Tasks

  • Using public Pinecone datasets
  • Creating and loading private datasets

Updated about 1 month ago


  • Table of Contents
    • Overview
    • Concepts
    • Tasks
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