EnterpriseRAG-Bench
PulseAugur coverage of EnterpriseRAG-Bench — every cluster mentioning EnterpriseRAG-Bench across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New SAG2 system enables efficient embedding-free multi-hop retrieval
Researchers have developed SAG2, a novel embedding-free retrieval architecture designed for efficient multi-hop question answering. This system utilizes a single SQLite database, the BM25 algorithm, and contextual evide…
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Query rewriting boosts RAG performance when combined, study finds
A new research paper explores query rewriting techniques to enhance retrieval-augmented generation (RAG) systems. The study found that combining multiple rewriting strategies, alongside strong baselines like HyDE and Qu…
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New MEMONDEMAND system enhances enterprise data retrieval
Researchers have developed MEMONDEMAND, a novel memory management system designed to improve data retrieval from large-scale enterprise repositories. The system addresses challenges in efficient access, source-faithful …
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MegaMem system enables retrieval over 1 billion tokens for LLMs
Researchers have developed MegaMem, a retrieval system designed to handle extremely large context windows for language models, potentially up to one billion tokens. This system separates semantic search from the evidenc…