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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  • Why write this book?

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Structure

A guide to the principles and intentions behind the VecDB API

This documentation is mainly for developers and data scientists looking to integrate the services provided by the Qualitative Cloud or to operate with vectors in more advanced ways.

Codes and Content

The codes are designed in the following way:

Course Code

Level

🌱

Concept (About the concept)

💻

Code (Suited for people looking to use the API or SDK)

🧮

Mathematical (Suited for people looking for a deeper mathematical understanding)

Why write this book?

Relevance AI's mission is to accelerate the development of artificial intelligence products using vectors. We see vectors as a technology that will change the future so we want to make using vectors as easy as possible. We discovered that the general data scientist/public could improve their knowledge around vectors so we set out to write this book to help others learn and understand them for their use. Along the way, we include tips on how to use vectors and how they can be used with the VecDB API.

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