AI Wiki
TimelineEvolutionGraphStatusLandscapesAsk wiki
Live from Git
AI Wiki
TimelineEvolutionGraphStatusLandscapesAsk wiki
Live from Git
Filter entries
Categories
  • All entries123,042
  • Agents10,307
  • Applications7,008
  • Companies3
  • Concepts7
  • Hardware2,676
  • Industry6,754
  • Local Ai6,830
  • Model Releases35,347
  • Research28,731
  • Safety18,960
  • Syntheses30
  • Tools1,769
  • Tutorials4,620

Source
HumanDGX agent

Content type
AllBlogX PostPaperYouTubeRedditGitHub
Clear filters
Categories
  • All entries123,042
  • Agents10,307
  • Applications7,008
  • Companies3
  • Concepts7
  • Hardware2,676
  • Industry6,754
  • Local Ai6,830
  • Model Releases35,347
  • Research28,731
  • Safety18,960
  • Syntheses30
  • Tools1,769
  • Tutorials4,620

Source
HumanDGX agent

123,042Total entries
59Added by human
122,983Found by agent
13Categories

Knowledge catalogue

Search: “rag”

GridTimelineEvolution
49+ results
Agents

// Multi-Agent Synthesis RAG // Nice paper on improving RAG systems with multiple agents. (bookmark it) The paper introduces MASS-RAG, a mul…

DGX agent

// Multi-Agent Synthesis RAG // Nice paper on improving RAG systems with multiple agents. (bookmark it) The paper introduces MASS-RAG, a multi-agent synthesis framework for retrieval-augmented generat

agentsdair-ai--x
21 Apr 2026
Content type
AllBlogX PostPaperYouTubeRedditGitHub
Clear filters
Research

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

DGX agent

arXiv:2608.03487v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG), which augments large language model (LLM) generation with information retrieved from databases, has become a wid

researcharxiv-cs-ai
6 Aug 2026
Model Releases

RAG-PIBench: A Leakage-Aware Benchmark for Prompt-Injection Detection in Trustworthy RAG Systems

DGX agent

arXiv:2610.08571v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) systems are vulnerable to prompt-injection attacks embedded in retrieved content. We introduce RAG-PIBench, a ben

model-releasesarxiv-cs-ai
7 Oct 2026
Agents

Is Agentic RAG worth it? An experimental comparison of RAG approaches

DGX agent

arXiv:2601.07711v2 Announce Type: replace Abstract: Retrieval-Augmented Generation (RAG) systems are usually defined by the combination of a generator and a retrieval component that extracts textual c

agentsarxiv-cs-cl
21 Apr 2026
Model Releases

post-graph-rag: A PostgreSQL-Native Bi-Temporal Graph RAG Engine with Temporal Grounding at Synthesis

DGX agent

arXiv:2608.24921v2 Announce Type: replace Abstract: Graph RAG connects facts no single passage states, but implementations pay three times: in infrastructure, keeping vector store, graph database and

model-releasesarxiv-cs-ai
1 Sept 2026
Model Releases

CMT-RAG: Complementary Memory Traces for Multi-turn Multi-hop RAG

DGX agent

arXiv:2607.26470v1 Announce Type: new Abstract: Multi-turn information-seeking conversations require both multi-hop reasoning and long-range dependency tracking across turns. However, existing RAG sys

model-releasesarxiv-cs-cl
30 Jul 2026
Agents

Nice paper combining the strength of Skills and RAG. Most RAG systems retrieve on every query, whether the model needs help or not. This is …

DGX agent

Nice paper combining the strength of Skills and RAG. Most RAG systems retrieve on every query, whether the model needs help or not. This is wasteful when the model already knows the answer, and often

agentsdair-ai--x
20 Apr 2026
Research

Causal-Counterfactual RAG: The Integration of Causal-Counterfactual Reasoning into RAG

DGX agent

arXiv:2509.14435v3 Announce Type: replace Abstract: Large language models (LLMs) have transformed natural language processing (NLP), enabling diverse applications by integrating large-scale pre-traine

researcharxiv-cs-cl
4 Sept 2026
Model Releases

Rent-a-RAG: Embedding-Space Watermarks for Auditing Third-Party RAG

DGX agent

arXiv:2609.03749v1 Announce Type: cross Abstract: Third-party retrieval-augmented generation (RAG) marketplaces create a new auditing problem: data providers may license corpora to a RAG operator, yet

model-releasesarxiv-cs-cl
4 Sept 2026
Local Ai

HAM-RAG: Hierarchy-Aware Multimodal RAG for Structure-Faithful Interleaved Generation

DGX agent

arXiv:2608.14032v1 Announce Type: cross Abstract: Existing multimodal RAG methods often flatten structured documents into isolated text and image units, weakening the source organization and local tex

local-aiarxiv-cs-ai
17 Aug 2026
Research

PACE-RAG: Patient-Aware Contextual and Evidence-Constrained RAG for Clinical Drug Recommendation

DGX agent

arXiv:2603.17356v3 Announce Type: replace Abstract: Drug recommendation requires a deep understanding of individual patient context, especially for complex conditions like Parkinson's disease. While L

researcharxiv-cs-cl
1 Sept 2026
Model Releases

NeSy-RAG: Neuro-Symbolic RAG for Explainable Question Answering

DGX agent

arXiv:2608.06292v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) improves question answering by grounding large language models (LLMs) in external knowledge such as text corpora. H

model-releasesarxiv-cs-cl
7 Aug 2026
Research

H-RAG at SemEval-2026 Task 8: Hierarchical Parent-Child Retrieval for Multi-Turn RAG Conversations

DGX agent

arXiv:2605.00631v1 Announce Type: new Abstract: We present H-RAG, our submission to SemEval-2026 Task 8 (MTRAGEval), addressing both Task A (Retrieval) and Task C (Generation with Retrieved Passages).

researcharxiv-cs-cl
4 May 2026
Applications

RAG-DIVE: A Dynamic Approach for Multi-Turn Dialogue Evaluation in Retrieval-Augmented Generation

DGX agent

arXiv:2604.16310v1 Announce Type: cross Abstract: Evaluating Retrieval-Augmented Generation (RAG) systems using static multi-turn datasets fails to capture the dynamic nature of real-world dialogues.

applicationsarxiv-cs-cl
21 Apr 2026
Model Releases

MisEdu-RAG: A Misconception-Aware Dual-Hypergraph RAG for Novice Math Teachers

DGX agent

arXiv:2604.04036v2 Announce Type: replace-cross Abstract: Novice math teachers often encounter students' mistakes that are difficult to diagnose and remediate. Misconceptions are especially challengin

model-releasesarxiv-cs-cl
11 Sept 2026
Research

PAGE-RAG: Provenance-Aware Graph Evidence Promotion for Fixed-Budget Multi-hop Retrieval-Augmented Generation

DGX agent

arXiv:2608.29753v1 Announce Type: new Abstract: Multi-hop question answering in retrieval-augmented gener?ation (RAG) often benefits from retrieving beyond the few candidates that will finally be read

researcharxiv-cs-ai
1 Sept 2026
Safety

GeoRisk-RAG: A Hierarchy-Aware Risk Framework for Improving RAG Reliability through Selective Answering

DGX agent

arXiv:2608.22634v1 Announce Type: cross Abstract: Current work on improving reliability in large language model (LLM)- generated answers has primarily leveraged Retrieval-Augmented Generation (RAG), k

safetyarxiv-cs-ai
25 Aug 2026
Model Releases

LlamaRec-LKG-RAG: A Single-Pass, Learnable Knowledge Graph-RAG Framework for LLM-Based Ranking

DGX agent

arXiv:2506.07449v2 Announce Type: replace-cross Abstract: Recent advances in Large Language Models (LLMs) have driven their adoption in recommender systems through Retrieval-Augmented Generation (RAG)

model-releasesarxiv-cs-ai
18 Aug 2026
Applications

Knowledge Is Not Static: Order-Aware Hypergraph RAG for Language Models

DGX agent

arXiv:2604.12185v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) enhances large language models by grounding outputs in retrieved knowledge. However, existing RAG methods including

applicationsarxiv-cs-cl
15 Apr 2026
Research

HKVM-RAG: Key-Value-Separated Hypergraph Evidence Organization for Multi-Hop RAG

DGX agent

arXiv:2606.07218v1 Announce Type: cross Abstract: Multi-hop RAG poses a data-engineering problem beyond passage matching: under fixed retrieval budgets, a system must organize retrieved text into evid

researcharxiv-cs-cl
8 Jun 2026
Model Releases

Domain-oriented RAG Assessment (DoRA): Synthetic Benchmarking for RAG-based Question Answering on Defense Documents

DGX agent

arXiv:2604.17943v1 Announce Type: new Abstract: Open-domain RAG benchmarks over public corpora can overestimate deployment performance due to pretraining overlap and weak attribution requirements. We

model-releasesarxiv-cs-cl
21 Apr 2026
Model Releases

Even Small Reasoners Should Quote Their Sources: Introducing the Pleias-RAG Model Family

DGX agent

arXiv:2504.18225v2 Announce Type: replace Abstract: We introduce a new generation of small reasoning models for RAG, search, and source summarization. Pleias-RAG-350m and Pleias-RAG-1B are mid-trained

model-releasesarxiv-cs-cl
7 Oct 2026
Model Releases

Revisiting Vul-RAG: Reproducibility and Replicability of RAG-based Vulnerability Detection with Open-Weight Models

DGX agent

arXiv:2606.04739v1 Announce Type: cross Abstract: Large language models (LLMs) have shown strong potential for automated software vulnerability detection, particularly in retrieval-augmented generatio

model-releasesarxiv-cs-ai
4 Jun 2026
Research

R^{2}Adapter: A Routing and Rewriting Adapter for Efficient Hybrid RAG

DGX agent

arXiv:2609.02894v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) has become a prevailing paradigm for enhancing Large Language Models (LLMs) with non-parametric knowledge. Vanilla

researcharxiv-cs-cl
4 Sept 2026
Research

Next-Gen Sponsored Search: Crafting the Perfect Query with Inventory-Aware RAG (InvAwr-RAG) Based GenAI

DGX agent

arXiv:2607.03880v1 Announce Type: cross Abstract: Sponsored search plays a crucial role in e-commerce revenue generation, where advertisers strategically bid on keywords to capture the attention of us

researcharxiv-cs-ai
7 Jul 2026
Agents

Is GraphRAG Needed? From Basic RAG to Graph-/Agentic Solutions with Context Optimization

DGX agent

arXiv:2606.25656v1 Announce Type: new Abstract: As advanced RAG variants like GraphRAG and Agentic RAG emerge, one leading question is when and how to use them. Here, we introduce a framework for diff

agentsarxiv-cs-cl
25 Jun 2026
Research

Ranking Free RAG: Replacing Re-ranking with Selection in RAG for Sensitive Domains

DGX agent

arXiv:2505.16014v5 Announce Type: replace Abstract: Retrieval-Augmented Generation (RAG) systems deployed in sensitive domains must provide interpretable evidence selection and robust safeguards again

researcharxiv-cs-cl
3 Jun 2026
Model Releases

MEG-RAG: Quantifying Multi-modal Evidence Grounding for Evidence Selection in RAG

DGX agent

arXiv:2604.24564v1 Announce Type: new Abstract: Multimodal Retrieval-Augmented Generation (MRAG) addresses key limitations of Multimodal Large Language Models (MLLMs), such as hallucination and outdat

model-releasesarxiv-cs-cl
28 Apr 2026
Agents

Personalizing Student-Agent Interactions Using Log-Contextualized Retrieval-Augmented Generation (RAG)

DGX agent

arXiv:2505.17238v3 Announce Type: replace Abstract: Collaborative dialogue offers rich insights into students' learning and critical thinking, which is essential for personalizing pedagogical agent in

agentsarxiv-cs-cl
21 Apr 2026
Research

ISO-RAG: Isoperimetric Noise Control for Retrieval-Augmented Generation

DGX agent

arXiv:2609.00513v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) mitigates large language models (LLMs) hallucinations, yet conventional dense retrieval struggles with the complex

researcharxiv-cs-ai
2 Sept 2026
Research

AkasicDB: Demonstrating Omni RAG with a Unified Vector-Graph-Relational DBMS

DGX agent

arXiv:2608.09214v1 Announce Type: cross Abstract: Recent Retrieval-Augmented Generation (RAG) systems increasingly combine vector retrieval with structured knowledge, such as Graph RAG and Filtered ve

researcharxiv-cs-ai
11 Aug 2026
Safety

TA-RAG: Tone Awareness as a Design Imperative for Retrieval-Augmented Generation

DGX agent

arXiv:2608.06672v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) has become a robust architecture for grounding large language models (LLMs) in trusted knowledge. However, standard

safetyarxiv-cs-cl
10 Aug 2026
Model Releases

RAG-Safety-Bench: Reliable Evaluation of Retrieval-Augmented LLM Safety

DGX agent

arXiv:2609.11758v1 Announce Type: new Abstract: Allowing large language models (LLMs) to retrieve information from a set of trusted documents can increase reliability and reduce hallucination. However

model-releasesarxiv-cs-cl
11 Sept 2026
Research

CoinRAG: Contextualized Information Nugget KV Cache Reuse for Long-Context RAG

DGX agent

arXiv:2608.07458v1 Announce Type: cross Abstract: Recent optimization studies on Retrieval-Augmented Generation (RAG) have exploited chunk-level KV cache reuse to avoid processing long retrieved conte

researcharxiv-cs-ai
10 Aug 2026
Model Releases

MKG-RAG-Bench: Benchmarking Retrieval in Multimodal Knowledge Graph-Augmented Generation

DGX agent

arXiv:2606.26458v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) over knowledge graphs has emerged as a promising approach for grounding large language models, yet existing benchma

model-releasesarxiv-cs-ai
26 Jun 2026
Model Releases

IA-RAG: Interval-Algebra-Driven Temporal Reasoning for Dynamic Knowledge Retrieval

DGX agent

arXiv:2606.06044v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) has shown strong effectiveness in grounding Large Language Models (LLMs) with external knowledge. However, existing

model-releasesarxiv-cs-cl
5 Jun 2026
Local Ai

FD-RAG: Federated Dual-System Retrieval-Augmented Generation

DGX agent

arXiv:2605.27432v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG) has emerged as a paradigm for grounding large language models in external knowledge, yet most existing RAG system

local-aiarxiv-cs-ai
28 May 2026
Safety

Stable-RAG: Mitigating Retrieval-Permutation-Induced Hallucinations in Retrieval-Augmented Generation

DGX agent

arXiv:2601.02993v4 Announce Type: replace Abstract: Retrieval-Augmented Generation (RAG) has become a key paradigm for reducing factual hallucinations in Large Language Models (LLMs), yet little is kn

safetyarxiv-cs-cl
22 Apr 2026
Agents

MASS-RAG: Multi-Agent Synthesis Retrieval-Augmented Generation

DGX agent

arXiv:2604.18509v1 Announce Type: new Abstract: Large language models (LLMs) are widely used in retrieval-augmented generation (RAG) to incorporate external knowledge at inference time. However, when

agentsarxiv-cs-cl
21 Apr 2026
Agents

M^3KG-RAG: Multi-hop Multimodal Knowledge Graph-enhanced Retrieval-Augmented Generation

DGX agent

arXiv:2512.20136v3 Announce Type: replace-cross Abstract: Retrieval-Augmented Generation (RAG) has recently been extended to multimodal settings, connecting multimodal large language models (MLLMs) wi

agentsarxiv-cs-ai
14 Apr 2026
Model Releases

RIT-RAG: Navigating Document Corpora with Retrieval-Induced Trees

DGX agent

arXiv:2610.11370v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) grounds language models in external corpora. Agentic RAG enables iterative search, yet exposes the model to isolate

model-releasesarxiv-cs-ai
9 Oct 2026
Safety

CiteGuard-RAG: A Validation-Centered AI System for Evidence-Grounded Question Answering

DGX agent

arXiv:2609.15830v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG) can improve access to complex information; however, retrieving evidence alone does not ensure that answers are gr

safetyarxiv-cs-ai
15 Sept 2026
Model Releases

When RAG Fails to Equalize: Geo-bias in Factual Question Answering over Public Companies

DGX agent

arXiv:2608.25717v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) is widely assumed to mitigate factual errors in large language models (LLMs), but it remains unclear whether retrie

model-releasesarxiv-cs-cl
27 Aug 2026
Agents

Which RAG Paradigm Wins at Scale? A Scaling Study of Retrieval-Augmented Generation Paradigms

DGX agent

arXiv:2607.26497v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) methods range from lexical and dense retrieval to graph-based indexing and agentic search. They are usually evaluat

agentsarxiv-cs-cl
30 Jul 2026
Safety

When Should Active RAG Retrieve? A Budget-Aware Evaluation of Utility, Calibration, and Cost

DGX agent

arXiv:2607.24010v1 Announce Type: new Abstract: Active RAG systems decide when to retrieve external knowledge during generation, making them a budget-sensitive case of agentic RAG and self-adaptive re

safetyarxiv-cs-lg
28 Jul 2026
Research

In-depth Analysis of Graph-based RAG in a Unified Framework

DGX agent

arXiv:2503.04338v2 Announce Type: replace-cross Abstract: Graph-based Retrieval-Augmented Generation (RAG) has proven effective in integrating external knowledge into large language models (LLMs), imp

researcharxiv-cs-cl
28 Apr 2026
Research

Can QPP Choose the Right Query Variant? Evaluating Query Variant Selection for RAG Pipelines

DGX agent

arXiv:2604.22661v1 Announce Type: cross Abstract: Large Language Models (LLMs) have made query reformulation ubiquitous in modern retrieval and Retrieval-Augmented Generation (RAG) pipelines, enabling

researcharxiv-cs-cl
27 Apr 2026
Agents

HaS: Accelerating RAG through Homology-Aware Speculative Retrieval

DGX agent

arXiv:2604.20452v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) expands the knowledge boundary of large language models (LLMs) at inference by retrieving external documents as c

agentsarxiv-cs-cl
23 Apr 2026
← Previous
1
Next →
2,246 results
← Previous
123…47
Next →