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

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  1. for your understanding

Concepts about vectors

Concepts about vectors

PreviousYour First Text To Image Search!NextWhat is vector search?

Last updated 3 years ago

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What are vectors?

Vectors are a list of numbers that meaningfully and uniquely represent data. See below for an example.

[0.324, 0.241, 0.934, 0.424, 0.141, 0.242] #example of a vector

Although vectors may look like a series of random numbers, they are actually the result of carefully constructed and trained artificial neural networks (more details below).

Think of vectors as the fingerprint of data. Much like how everyone has their own fingerprint, every piece of data (whether it is an image, video, text or audio) has its own vector.

How are vectors constructed?

Vectors can be constructed from: 1) A row of data (for example - the machine learning model is an excellent example 2) Extracting a layer in the middle of a neural network

Neural networks allow us to provide a new way to see the work done.

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Vectors are much like fingerprints of data.
We can extract vectors from neural networks.