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sentence-encoder-lambda's Introduction

Universal Sentence Encoder Lambda

Run locally

  1. Build Docker container
docker build --tag sentence-encoder-lambda .
  1. Run container
docker run -p 9000:8080  sentence-encoder-lambda:latest 
  1. Make a cURL request
curl -XPOST "http://localhost:9000/2015-03-31/functions/function/invocations" -d '{"text":["are you open?"]}'

Result

The endpoint returns a 512 dimension dense vector, which can be used when implementing e.g. a similarity search

{"vector":"[-0.01935427635908127, ....]"}

Resources

  1. Tensorflow Hub - Universal Sentence Encoder
  2. Lambda Function Handlers - Python
  3. Testing Locally - Lambda Containers

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