Researchers have introduced Sparcent, a technique that uses learned sparse retrieval to accelerate the query-centroid ...
Qdrant-FineWeb-10B pairs dense and sparse embeddings of 10 billion documents from public web text with exhaustively computed nearest neighbors for 120,000 queries, enabling exact ground truth to ...
A new survey in Artificial Intelligence Review maps the evolution of retrieval-augmented generation from simple retrieve-then ...
Linkup Research releases SPARSEUP, an open-source 149M-parameter sparse embedding model scoring 56.4 nDCG@10 on BEIR-13 under Apache 2.0.
Hybrid search combines lexical matching with vector similarity so retrieval can respect exact terms while recognizing semantic equivalents. This guide explains the mechanism, trade-offs, evaluation, ...
Every few months, the enterprise AI conversation resets around the same flawed premise that better models solve the problem. When large language models hallucinate, the instinct is to reach for a ...
During the 48th International ACM SIGIR Conference (SIGIR 2025) in Padua, Italy this week (July 13-17, 2025), researchers from Bloomberg’s AI Engineering Group are showcasing their expertise in ...
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