Research Papers

103 articles · Updated every 3 hours · View all reads

All Articles 190,596 Blog Posts 172,119 Tech Tutorials 51,114 Research Papers 37,032 News 23,222 ⚡ AI Lessons

ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1w ago

When Is Graph Structure Worth Its Cost? The Case for Structure Pricing in Retrieval-Augmented Generation

arXiv:2609.18099v1 Announce Type: new Abstract: Graph-based retrieval-augmented generation (RAG) can help answer questions that require information from many do

ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1w ago

One Size Does Not Fit All! Dynamic Retriever and Generator Selection for RAG

arXiv:2609.17709v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) systems typically employ fixed retriever and generator configurations acr

Weights & Biases 🔍 RAG & Vector Search 2w ago

RAG pipeline tutorial: Common pitfalls (and how to fix them)

RAG tutorial: build a LangChain Q&A pipeline over your docs—chunking, embeddings, retrieval, citations, and Weave evaluation, pitfalls fixed.

ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 2w ago

In RAG We Trust? Measuring Robustness of Retrieval-Augmented Generation Under Document Poisoning

arXiv:2609.09243v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG) grounds a language model in retrieved documents, which reduces hallucinat

ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 2w ago

Fine-Tuning a KV Cache Concatenation-Aware Model or Recomputing KV Caches? Why Not Both?

arXiv:2609.09768v1 Announce Type: cross Abstract: In Retrieval-Augmented Generation (RAG) systems, a large number of retrieved chunks are concatenated to form t

Reddit r/MachineLearning 🔍 RAG & Vector Search 2w ago

My lab found a way to migrate between embedding models with zero downtime. [R]

So I've been messinga round with embedding models for a bit, and I think they are interesting enough to experiment with. They are useful for rag, especially in

Reddit r/MachineLearning 🔍 RAG & Vector Search ⚡ AI Lesson 4w ago

Open-source access-control checker for retrieval-based AI applications [P]

Hey Guys, I built a small open-source tool that checks whether a RAG application retrieves documents a user shouldn’t have access to. It supports offline test c

Reddit r/MachineLearning 🔍 RAG & Vector Search 1mo ago

MCA final year — need a real-world-scale AI project idea, not a toy/tutorial-level one[D]

I'm an MCA student with hands-on experience in Python, LangChain, Chroma, HuggingFace, and FastAPI (built a RAG document-QA system already). My project guide sp

Reddit r/MachineLearning 🔍 RAG & Vector Search 1mo ago

How we built a SOTA search engine using PostgreSQL, pgvector, and Qwen3 embeddings [P]

<div class="m

ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago

Search Broadly, Seek Evidence on Both Sides, Decide Narrowly: Evidence-Admissible GraphRAG for Longitudinal Clinical Event Verification

arXiv:2608.22062v1 Announce Type: new Abstract: Longitudinal clinical event-relation verification determines whether a patient record supports a specified relat

ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago

Towards Query-Agnostic RAG Evaluation via Query Coverage and Claim Verifiability

arXiv:2608.11238v1 Announce Type: new Abstract: Retrieval-augmented generation improves the factuality of large language models by grounding responses in retrie

ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago

Universal Pathologies, Conditional Consequences: A Triple-Robustness Analysis of RAG for Multi-Hop Traceability

arXiv:2608.05153v1 Announce Type: cross Abstract: GraphRAG underperforms vector RAG on citation precision in many reports, but where and why have remained corpu

ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago

RAG-Stack: Co-Optimizing RAG Serving Performance and Quality

arXiv:2608.03487v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG), which augments large language model (LLM) generation with information re

ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago

DenialRAG: Single-Document RAG Poisoning via Embedded Parametric Denial

arXiv:2608.02678v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG) systems are vulnerable to corpus poisoning: an attacker who inserts a cra

MarkTechPost 🔍 RAG & Vector Search ⚡ AI Lesson 1mo ago

Pixel-Native RAG: A Practical Guide to Visual Document Indexing

Move beyond traditional text-based parsing with PixelRAG, an end-to-end system that treats web pages and PDFs as images. This tutorial explores the complete pip

ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago

HALT: Verification-Aware Stopping for Retrieval-Augmented Search Agents

arXiv:2608.02009v1 Announce Type: new Abstract: Retrieval-augmented search agents answer multi-hop questions by repeatedly issuing search queries and accumulati

ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago

Before Reasoning Fails: Pre-Evidence Procedural Failures in Agentic RAG

arXiv:2608.02011v1 Announce Type: new Abstract: Agentic retrieval-augmented generation (RAG) systems can fail before evidence-conditioned reasoning is tested: a

ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago

MEGRAG: Multi-Granular Evidence Graphs for Answer-Aware Multi-Hop RAG

arXiv:2608.02195v1 Announce Type: new Abstract: Multi-hop question answering is a fundamental challenge in retrieval-augmented generation (RAG), because derivin

ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago

RAG Strategies for Natural Language-Based SQL Query and REST API Call Generation

arXiv:2602.07086v2 Announce Type: replace-cross Abstract: Enterprise software systems commonly expose business functionality through both relational databases a

ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 2mo ago

FinCacheServe: Dependency-Consistent Answer Reuse for Cost-Efficient RAG Serving over Mutable Enterprise Documents

arXiv:2607.26076v1 Announce Type: cross Abstract: Retrieval-augmented generation services over mutable enterprise documents repeatedly execute semantically equi

ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 2mo ago

ScalableRAG: High-Quality RAG at Zero Ingestion Cost

arXiv:2607.25135v1 Announce Type: new Abstract: Recent advances in RAG aim to optimize for performance by paying high ingestion costs for knowledge ingestion: b

ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 2mo ago

The Effect of Text Chunk Size on Retrieval-Augmented Generation Performance

arXiv:2607.24767v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) systems have emerged as a powerful process for allowing large language mo

ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 2mo ago

Three Sides of Retrieval: Factorial Evidence for Document-Side, Query-Side, and Answer-Side Complementarity in RAG

arXiv:2607.24781v1 Announce Type: cross Abstract: RAG systems rely on chunking, which destroys structural information in documents. Existing heading-based retri

ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 2mo ago

Source-Aware Reranking for Retrieval-Augmented Generation: A Reliability Prior Approach

arXiv:2607.22584v1 Announce Type: new Abstract: Standard Retrieval-Augmented Generation pipelines rank retrieved documents by semantic similarity alone, without