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This document provides technical information for the new module "Similarity search with perceptual hashes (POC) " which includes the plugin "Similarity Search”. The module is designed to generate embeddings using perceptual hashes for objects during the ingest process, storing the hash in the record metadata and offering an API method to retrieve similar objects for an existing object. This module is the basic version for similarity search whereas Similarity search using Open AI (POC) offers the premium version.

Activation

This feature will be automatically activated on mh-uat for the organisations mh-uatb & mh-uatc during the sprint release 24.4/3

  1. Create the following field definitions

    1. MapField named Dynamic.EmbeddingsPoc

    2. VectorField named Dynamic.EmbeddingsPoc.PerceptualHash with dimensions = 64 and index = true

    3. Publish them

  2. Enable the module SIMILARITY_SEARCH_PERCEPTUAL_HASHES_POC for the customer’s organisation. See the REST document for information on how to do that.

  3. Ingest new objects

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