To summarize, we have four fundamental components in GNES:
- Preprocessor: transforming a real-world object to a list of workable semantic units;
- Encoder: representing a semantic unit with vector representation;
- Indexer: storing the vectors into memory/disk that allows fast-access;
- Router: forwarding messages between microservices: e.g. batching, mapping, reducing.
- SEMANTIC SEARCH ENGINE FOR Q&A USING ELASTIC SEARCH AND DOCKER
- Haystack is an end-to-end framework that enables you to build powerful and production-ready pipelines for different search use cases.
- How to deploy NLP: Named entity recognition (NER) example
Keep Exploring!!!
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