VecDB API
  • 🌱VecDB
  • 🌱Structure
  • 🌱Glossary
  • 🌱FAQ
  • 💻API Reference
  • Get Started
    • 💻Authentication
    • 💻Build Your First Search
      • 💻Creating your first dataset
      • 💻Encoding + Inserting
      • 💻Your First Text To Image Search!
  • for your understanding
    • 🌱Concepts about vectors
    • 🌱What is vector search?
    • 🌱Vectors for classification
    • 🌱Limitations of vectors
  • Guides
    • 💻Combine keyword search with vector search
  • ADMIN
    • 🌱Project Overview
      • 💻Project Creation
      • 💻List All Datasets
      • Best Practice With Project Management
      • 💻Copy dataset
      • 💻Copy dataset from another project
      • 💻Request an API key
      • 💻Request a read-only API key
  • Services
    • 🔍Search
      • Text Search
      • Vector Search
      • Hybrid Search
      • Traditional Search
    • 🔍Predict
      • 💻KNN regression from search results
      • 💻KNN Regression
    • 🔍Tag
      • 💻Tagging
      • 💻Diversity Tagging
    • 🔍Cluster
      • Cluster A Dataset Field
  • DATASETS
    • 🌱Datasets Overview
      • 🌱Special Field Types
  • WORKFLOWS
    • 🌱Workflow Overview
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  1. Services

Tag

Add tags based on your datasets

Overview

Tagging is essentially a way to allow users to include relevant tags to their documents.

We currently offer tagging as a service. Tagging as a Service uses the services/tagger/tag endpoint if you wanted the most directly similar tags. However, if you are interested in diversity with tags, you can use the /services/tagger/diversity endpoint.

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Last updated 3 years ago

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