I don't see any threads on this model. Is it because it's dense and/or without-reasoning?
#retrieval-augmented
8 items
Is Granite-4.1-30b Overshadowed by Qwen3.6 & Gemma4 models? (www.reddit.com) Every RAG-based localization pipeline has the same blind spot (lingo.dev via hn) If a localization pipeline uses retrieval augmented generation to inject glossary terms into the model's context window, it has a retrieval recall problem that has never been measured. The pattern is universal: embed the input text, cosine…
RAG pipelines, leaking PII into vector databases and nobody's talking about it (comply-tech.co.uk via hn) Your RAG Pipeline Is Leaking Customer Data Into Vector Embeddings If you're building a RAG (Retrieval Augmented Generation) system on internal documents such as customer support history, knowledge base articles, or internal comms, there's…
Retrieval Augmented Generation Framework for the Nepali Legal Domain Question Answering (arxiv.org) ConflictRAG: Detecting and Resolving Knowledge Conflicts in Retrieval Augmented Generation (arxiv.org) RACT: Retrieval Augmented Column-Table Learning and Prediction for Multi-Table Schema Matching (arxiv.org) HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation (arxiv.org) Embedding geometry plays a fundamental role in retrieval quality, yet dense retrievers for retrieval-augmented generation (RAG) remain largely confined to Euclidean space. However, natural language exhibits hierarchical structure from broa…
Retrieval Augmented Generation with Huggingface Transformers and Ray (huggingface.co)