Guide To Vectors
  • Introduction
  • Guide to this Book
  • API documentation
  • Python SDK Documentation
  • Learn about vectors
    • 🌱Introduction to vectors
      • 🌱Applications of vectors
        • 🌱Vectors for classification
      • 🌱Limitations of vectors
    • 🌱What is vector search?
      • 🌱How to vector search
      • 🌱How to build image to text search using code
      • 🧍Try vector search with playground!
      • 💻Vector search with code
    • 🌱Terminology Guide
  • Unlock Vector AI
    • 🔍Inserting Into Vector AI
      • 🧍Inserting with playground
      • 💻Inserting with API
        • 💻Inserting with API - encoding while inserting (recommended)
        • 💻Inserting with API - encoding before inserting
        • 💻Inserting with API - encoding after inserting
      • 🧍How to check insertion succeeded
    • 🔍Searching with Vector AI
      • 🌱How to search with the playground
      • 🌱Combining with traditional search
        • 🧍How to combine exact text search with vector search
        • 💻How to add exact text search to vector search
      • 🌱Personalisation with vector search
        • 💻Personalised search/recommendations with vector search
      • 🌱Chunk search
        • 💻How To Chunk Search
        • 💻How To Do MultiVector Chunk Search
        • 💻How to do multi step chunk search
      • 🧍How to diversify search results
    • 🔍Clustering
      • 🌱Clustering Vectors From Deep Learning models
    • 🔍Aggregation
      • 💻Writing Your First Aggregation
      • 💻Publishing Your First Aggregation
    • 🔍Experimentation
      • 🌱Vector Evaluation
        • 🌱Evaluate Vector Bias
    • 🔍Jobs
      • 💻Tagging Jobs
      • 💻Chunking Jobs
      • 💻Encoding Jobs
      • 🧍List all jobs (active and inactive)
    • 🔍Encoding
    • 🔍Maintenance & Monitoring
      • 🧍How to view your collections
      • 💻How to share your collections
      • 💻How to back up your collections
      • 💻How to change name of a collection field
      • 💻How to change the schema of a collection
      • 💻How to remove a field in a collection
      • 💻How to request a read API key
  • Tutorials
    • 💻How to turn data into Vectors (code)
      • 💻How to turn text into Vectors
      • 💻How to turn images Into Vectors
      • 💻How to turn audio into Vectors
    • 💻Image Search For Developers
    • 💻How To Combine Different Vectors For Search
    • 💻How To Combine Different Vectors With Exact Matching Text
    • 💻Semantic NLP search with FAISS and VectorHub
  • ABOUT
    • Credits
    • Philosophy
    • Glossary
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Aggregation

Aggregate your data based on clusters to better understand your data!

Aggregating your data with Vector AI can provide users with new ways to try out things with data.

We are interested in clustering data/vectors and then determining the average/max/total of that cluster. This is achieved via aggregation. Vector AI helps provides aggregation endpoints that:

  • Aggregate live every time new data comes in

  • Provide common statistical ways to aggregate clusters

  • Using the centroid data point to represent the cluster

PreviousClustering Vectors From Deep Learning modelsNextWriting Your First Aggregation

Last updated 4 years ago

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