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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  1. Unlock Vector AI
  2. Searching with Vector AI
  3. Chunk search

How to do multi step chunk search

A tutorial on multi-step chunk search

PreviousHow To Do MultiVector Chunk SearchNext🧍How to diversify search results

Last updated 4 years ago

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Multi step chunk search can be useful for users who are:

  • Trying to accelerate chunk search

  • Want to capture meaning in one field and then explain in another field

  • Want to match semantics in the field at a broader context-level and then hone in at the chunk level.

Multi-step chunk search can be useful in improving the explainability of general search and are now combined into 1 search endpoint for users.

The multistep chunk search endpoint can be found at /collection/advanced_multistep_chunk_search.

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Multi step chunk search