md-experiments/elastic_transformers

Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers

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/ 100
Emerging

This project helps you build a highly effective search engine for large collections of articles or documents. It takes raw text data, processes it, and allows you to find information using both exact keywords and the underlying meaning of your queries. It's designed for data scientists or engineers who need to deploy powerful, context-aware search capabilities.

161 stars. No commits in the last 6 months.

Use this if you need to set up a semantic search engine that understands the context and meaning of text, rather than just matching keywords, for large datasets like news articles or research papers.

Not ideal if you're looking for a simple plug-and-play solution without needing to manage a server or understand basic machine learning concepts.

information-retrieval document-search natural-language-processing data-indexing knowledge-discovery
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 17 / 25

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Stars

161

Forks

24

Language

Jupyter Notebook

License

Apache-2.0

Last pushed

Sep 25, 2020

Commits (30d)

0

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