🔎 Information Retrieval - 2601 · Scour

A-RAG: The 3-Tool Retrieval Architecture That Makes Naive RAG Obsolete 🔍RAG

medium.com·10h

Razshy/Resonance-Search: A new search paradigm where documents have gravity, queries converge into basins, and multi-signal scoring uses interference instead of linear fusion. 🔍Search Algorithms

github.com·6d·Hacker News, r/rust

Masking or Mitigating? Deconstructing the Impact of Query Rewriting on Retriever Biases in RAG 🔍RAG

arxiv.org·2d

Introducing OpenSearch 3.6 🔍Search Algorithms

opensearch.org·2d

Semantic Search Without Embeddings 🔍Search Algorithms

softwaredoug.com

·6d·Hacker News

Unified Supervision for Walmarts Sponsored Search Retrieval via Joint Semantic Relevance and Behavioral Engagement Modeling 🔍RAG

arxiv.org·13h

chessstetson/rechunk: interactive rechunking for augmented indexing 💬Interactive REPLs

github.com·1d·Hacker News

Vectorless RAG: How I Built a RAG System Without Embeddings, Databases, or Vector Similarity 🔍RAG

pub.towardsai.net

·5d

ReAlign: Optimizing the Visual Document Retriever with Reasoning-Guided Fine-Grained Alignment 🔍RAG

arxiv.org·13h

Improving Search Suggestions for Alphanumeric Queries 🔍Search Algorithms

arxiv.org·13h

Entities as Retrieval Signals: A Systematic Study of Coverage, Supervision, and Evaluation in Entity-Oriented Ranking 🔍RAG

arxiv.org·2d

SubSearch: Intermediate Rewards for Unsupervised Guided Reasoning in Complex Retrieval 🔄Subinterpreters

arxiv.org·13h

HIVE: Query, Hypothesize, Verify An LLM Framework for Multimodal Reasoning-Intensive Retrieval 🔍RAG

arxiv.org·1d

AnnoRetrieve: Efficient Structured Retrieval for Unstructured Document Analysis 🔍Query Engines

arxiv.org·4d

Improving Semantic Proximity in Information Retrieval through Cross-Lingual Alignment 🔤Language Tokenizers

arxiv.org·2d

CubeGraph: Efficient Retrieval-Augmented Generation for Spatial and Temporal Data 🔍RAG

arxiv.org·1d

Querying Structured Data Through Natural Language Using Language Models 🌳Tree-sitter

arxiv.org·4d

DQA: Diagnostic Question Answering for IT Support 🧠Semantic Parsing

arxiv.org·2d

Are LLM-Based Retrievers Worth Their Cost? An Empirical Study of Efficiency, Robustness, and Reasoning Overhead 🌱Minimal ML

arxiv.org·3d

LLM-based Listwise Reranking under the Effect of Positional Bias 🪜Recursive Descent

arxiv.org·3d

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