Researchers propose HC-RAG, a hierarchical cross-modal retrieval-augmented generation framework for evidence-centric financial question answering, which organizes filings into a typed financial eviden…
A developer built raven-retrieval, an open-source framework that benchmarks 19 retrieval pipelines on BEIR datasets with Bonferroni-corrected significance tests. The key finding is that top pipelines …
A new memory architecture called Hierarchical Agentic Memory uses hyperbolic embeddings with an abstraction score to organize vector databases hierarchically, enabling AI agents to retrieve structured…
A developer benchmarked seven RAG configurations against real-world banking documents, technical manuals, and internal wikis, finding that Twitter-hyped "graph RAG" approaches like LightRAG performed …