🔍 RAG - 2601 · Scour

Web Retrieval-Aware Chunking (W-RAC) for Efficient and Cost-Effective Retrieval-Augmented Generation Systems 🔤Language Tokenizers

arxiv.org·2d

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

medium.com·8h

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

pub.towardsai.net

·5d

We replaced RAG with a virtual filesystem for our AI documentation assistant 💬Interactive REPLs

news.ycombinator.com·6d·Hacker News

MG$^2$-RAG: Multi-Granularity Graph for Multimodal Retrieval-Augmented Generation 🌊Streaming Lexers

arxiv.org·2d

Rag Performance Prediction for Question Answering 🪜Recursive Descent

arxiv.org·11h

Semantic Search Without Embeddings 🔍Search Algorithms

softwaredoug.com

·6d·Hacker News

DCD: Domain-Oriented Design for Controlled Retrieval-Augmented Generation 📋Tablegen

arxiv.org·11h

CUE-R: Beyond the Final Answer in Retrieval-Augmented Generation 💬Prompt Engineering

arxiv.org·2d

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

arxiv.org·11h

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

arxiv.org·1d

LatentAudit: Real-Time White-Box Faithfulness Monitoring for Retrieval-Augmented Generation with Verifiable Deployment 💬Prompt Engineering

arxiv.org·2d

BridgeRAG: Training-Free Bridge-Conditioned Retrieval for Multi-Hop Question Answering 🔄Subinterpreters

arxiv.org·3d

From PDF to RAG-Ready: Evaluating Document Conversion Frameworks for Domain-Specific Question Answering 💬Interactive REPLs

arxiv.org·2d

ARIA: Adaptive Retrieval Intelligence Assistant -- A Multimodal RAG Framework for Domain-Specific Engineering Education 💬Prompt Engineering

arxiv.org·1d

Align then Train: Efficient Retrieval Adapter Learning 🔍Search Algorithms

arxiv.org·3d

Next-Scale Generative Reranking: A Tree-based Generative Rerank Method at Meituan 🏷️Attribute Grammars

arxiv.org·2d

Illocutionary Explanation Planning for Source-Faithful Explanations in Retrieval-Augmented Language Models 💬Prompt Engineering

arxiv.org·1d

GROUNDEDKG-RAG: Grounded Knowledge Graph Index for Long-document Question Answering 🕸️Knowledge Graphs

arxiv.org·3d

Beyond the Parameters: A Technical Survey of Contextual Enrichment in Large Language Models: From In-Context Prompting to Causal Retrieval-Augmented Generation 💬Prompt Engineering

arxiv.org·4d

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