I just wrote an article (quite long) about how we’ve build a semantic similarity index alongside the ElasticSearch and used both to provide smarter search results.

Tools used:

• Tensorflow and Simple Tensorflow Serving
• Pre-trained Universal Sentence Encoder
• Docker
• Python 3
• FAISS by Facebook
• ElasticSearch
• gRPC for the API

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Link to the article: https://blog.onebar.io/building-a-semantic-search-engine-using-open-source-components-e15af5ed7885

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I hope, this would be helpful as a practical “how-to” for anyone, trying to build a semantic search engine for their project.