Our Research
Research Papers & Publications
Explore our published research and contributions to the fields of artificial intelligence, machine learning, and information retrieval. Our work advances the state of the art in embedding model optimization and semantic search.
Optimizing Embedding Models for Information Retrieval
A comprehensive BEIR benchmarking study demonstrating significant performance improvements through multi-dataset fine-tuning. This research presents novel optimization techniques for embedding models, achieving state-of-the-art results across diverse information retrieval tasks.
Read Paper - Optimizing Embedding Models for Information Retrieval
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