Applications

SparseEncoder can be used for various use-cases. In these folders, you find several example scripts that show case how SparseEncoder can be used

Computing Embeddings

The computing_embeddings folder contains examples how to compute sentence embeddings using SparseEncoder.

The semantic_textual_similarity folder contains examples how to compute semantic textual similarity between sentences using SparseEncoder.

The semantic_search folder shows examples for semantic search: Given a sentence, find in a large collection semantically similar sentences.

The retrieve_rerank folder shows how to combine a bi-encoder for semantic search retrieval and a more powerful re-ranking stage with a cross-encoder.