Subject
2 entries
Dense Retrieval
Bookmarks
Dense-X-Retrieval: Proposition-Level RAG
Dense-X-Retrieval is a LlamaIndex pack implementing proposition-level retrieval — splitting documents into atomic factual propositions rather than chunks, then retrieving at proposition granularity. Improves precision by matching query semantics at a finer level than paragraph chunks.
ART: Questions Are All You Need to Train a Dense Passage Retriever
ART (Autoencoding-based Retriever Training) trains dense retrievers without labeled question-passage pairs — only questions and an unpaired document collection. This removes the main bottleneck for deploying dense retrieval in new domains where annotation is expensive.