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. Maintenance & Monitoring

How to share your collections

A guide to sharing your collections with Vector AI

PreviousHow to view your collectionsNextHow to back up your collections

Last updated 4 years ago

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Vector AI is focused on ensuring that data remains secured even when sharing.

You can securely share data with other accounts/users using the following endpoint:

import requests
response = requests.post(
    url="https://vectorai-development-api.azurewebsites.net/project/copy_collection_from_another_user",
    json={
        "collection_name": "string",
        "username": "string",
        "api_key": "string",
        "source_collection_name": "string",
        "source_username": "string",
        "source_api_key": "string"
        })
let request = await fetch("https://vectorai-development-api.azurewebsites.net/project/copy_collection_from_another_user", 
      {
            "method": "POST",
            "headers": {
                  "Content-Type": "application/json"
            },
            "body": JSON.stringify({
              "username": "string",
              "api_key": "string",
              "collection_name": "string",
              "original_collection_name": "string",
              "collection_schema": { },
              "rename_fields": { },
              "remove_fields": [ ]
            })
      }
)
let json = await request.json()

Ensure that you are using write API keys for both usernames and collections.

🔍
💻
https://vectorai-development-api.azurewebsites.net/project/copy_collection_from_another_user