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• realtime-embeddings-matching-master
  • LICENSE
  • CONTRIBUTING.md
  • recommended-item-search
    • softmax_main.py
    • data_preparation.py
    • run.sh
    • input_pipeline.py
    • softmax_model.py
  • README.md
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  • text-semantic-search
    • semantic_search
      • utils
        • search.py
        • embedding.py
        • matching.py
        • __init__.py
        • lookup.py
      • app.yaml
      • main.py
      • requirements.txt
      • deploy.sh
    • embeddings_extraction
      • run.py
      • etl
        • pipeline.py
        • __init__.py
      • run.sh
      • setup.py
    • README.md
    • requirements.txt
    • index_builder
      • config.yaml
      • builder
        • index.py
        • task.py
        • __init__.py
      • setup.py
      • submit.sh

Online Embeddings Matching

This is not an officially supported Google product. This repo contains sample codes that demonstrate online embeddings matching by leveraging Google Cloud Platform and 3rd party libraries.

• Text Semantic Search: This example shows how to build an end-to-end real-time text semantic search, using using the Universal Sentence Encoder module for embeddings extraction, and Annoy library, for approximate similarity matching index construction.