[P] How we used USE and FAISS to enhance ElasticSearch results
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.
- Tensorflow and Simple Tensorflow Serving
- Pre-trained Universal Sentence Encoder
- Python 3
- FAISS by Facebook
- gRPC for the API
I hope, this would be helpful as a practical “how-to” for anyone, trying to build a semantic search engine for their project.