A new NVIDIA NeMo Retriever paper, "Beyond Semantic Similarity: Performance and Costs of Agentic Retrieval for Complex Tasks," reports that an agentic retrieval setup lifts nDCG@10 by about 8.7 points…
Weaviate's new `effort` parameter in Query Agent Search Mode, available in `weaviate-agents 1.8.0` and `agents-typescript-client 1.7.0`, lets users scale test-time compute per request, lifting nDCG@10…
A new pipeline called ARGUS aims to fix blind spots in AI retrieval systems by preemptively addressing weak spots in data retrieval. Developed using a large-scale dataset from Wikidata and Wikipedia, …
Researchers introduced Refine Thought (RT), a method that enhances text embedding models by executing multiple forward passes to improve semantic reasoning. RT significantly boosted performance on spe…
Researchers have developed RICE-PO, a policy optimization framework that converts retrieval interactions into localized learning signals for training reasoning-based retrieval agents. The framework ad…