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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Add proper search functionality to your qualitative data

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Last updated 3 years ago

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Relevance AI's powerful vector search engine is highly customizable - allowing search through multiple vector spaces with high configurability. Our data scientists and engineers spend everyday improving the underlying framework and infrastructure to support this and we would love others to use it more!

Try out search with Relevance AI without coding using the playground below!

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