Core AI

RAG & Vector Search

Retrieval-augmented generation, vector databases, embeddings and semantic search

5,064
lessons
Skills in this topic
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RAG Basics
beginner
Chunk documents with LangChain or LlamaIndex
Vector Stores
intermediate
Set up Pinecone, Weaviate, or pgvector
RAG Evaluation
intermediate
Run RAGAS evaluation on a RAG pipeline
Advanced RAG
advanced
Build a hybrid BM25 + dense retrieval pipeline
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 3d ago
A Failure-Mode Benchmark for Polymorphic Sybil Poisoning in RAG
arXiv:2607.03739v1 Announce Type: cross Abstract: We release a benchmark and failure-mode-aware evaluation framework for grounded QA under coordinated retrieval
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1w ago
One Retrieval to Cover Them All: Co-occurrence-Aware Knowledge Base Reorganization for Session-Level RAG
arXiv:2606.31156v1 Announce Type: cross Abstract: RAG systems retrieve documents optimized for answering one query at a time. Yet enterprise users arrive with s
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1w ago
Covering the Unseen: Information Demand Coverage Optimization for Retrieval-Augmented Generation
arXiv:2606.29328v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG) typically treats context selection as ranking chunks against a single que
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1w ago
Freshness and the Limits of Heuristic Trend Detection in Temporal RAG
arXiv:2509.19376v2 Announce Type: replace-cross Abstract: We present a lightweight, model-agnostic temporal layer for RAG and use cybersecurity data to separate
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 2w ago
Reducing Redundancy in Whole-Slide Image Patching for Scalable Indexing and Retrieval
arXiv:2606.26157v1 Announce Type: cross Abstract: The rapid growth of digital pathology has created an urgent need for efficient indexing and retrieval of whole
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 2w ago
To Isolate or to Score? Model-Adaptive Assessment for Cost-Efficient Multi-Agent RAG
arXiv:2606.25191v1 Announce Type: new Abstract: Multi-agent document assessment for retrieval-augmented generation is computationally expensive, driving practit
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 2w ago
Only Ask What You Don't Know: Grounded Delta Planning for Efficient Multi-step RAG
arXiv:2606.22681v1 Announce Type: cross Abstract: Multi-hop question answering remains challenging for Retrieval-Augmented Generation (RAG) because existing app
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 2w ago
When Confidence Takes the Wrong Path: Diagnosing Retrieval-State Lock-In in RAG
arXiv:2606.22728v1 Announce Type: cross Abstract: The trustworthiness of a retrieval-augmented generation (RAG) system depends on more than the answer it return
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago
SIFT: Selective-Index For Fast Compute of RAG Prefill by Exploiting Attention Invariance
arXiv:2606.09441v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) injects LLM queries with relevant documents to improve response quality. Th
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago
Beyond Probabilistic Similarity: Structural, Temporal, and Causal Limitations of Retrieval-Augmented Generation in the Legal Domain
arXiv:2606.09724v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) has become a standard architectural response to unreliability in legal AI,
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago
RAG Security and Privacy: Formalizing the Threat Model and Attack Surface
arXiv:2509.20324v2 Announce Type: replace-cross Abstract: Retrieval-Augmented Generation (RAG) is an emerging approach in natural language processing that combi
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago
A2RAG: Adaptive Agentic Graph Retrieval for Cost-Aware and Reliable Reasoning
arXiv:2601.21162v2 Announce Type: replace-cross Abstract: Graph Retrieval-Augmented Generation (Graph-RAG) enhances multihop question answering by organizing co
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago
Revisiting Vul-RAG: Reproducibility and Replicability of RAG-based Vulnerability Detection with Open-Weight Models
arXiv:2606.04739v1 Announce Type: cross Abstract: Large language models (LLMs) have shown strong potential for automated software vulnerability detection, parti
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago
Cost-Aware Query Routing in RAG: Empirical Analysis of Retrieval Depth Tradeoffs
arXiv:2606.02581v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG) faces a fundamental three-way tension: deeper retrieval improves factual
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago
TrafficRAG: A Multimodal RAG Framework for Traffic Accident Liability Determination
arXiv:2606.01737v1 Announce Type: new Abstract: Traffic accident liability analysis is a critical yet challenging task in intelligent transportation and legal a
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago
Self-Conditioned Positional HNSW for Overlap-Aware Retrieval in Chunked-Document RAG Systems: Method and Industrial Evidence-Quality Audit
arXiv:2606.01542v1 Announce Type: cross Abstract: Chunked-document retrieval is a common component of retrieval-augmented generation (RAG) systems. Documents ar
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago
On the impact of retrieved content representations in RAG Pipelines
arXiv:2605.30790v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) supplements a language model's input with retrieved documents, yet most R
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago
Understanding the Fundamental Design Decisions of Retrieval-Augmented Generation Systems
arXiv:2411.19463v3 Announce Type: replace-cross Abstract: Retrieval-Augmented Generation (RAG) has emerged as a critical technique for enhancing large language
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago
Same Question, Different Source, Different Answer: Auditing Source-Dependence in Medical Multi-Source RAG
arXiv:2605.29084v1 Announce Type: cross Abstract: A retrieval-augmented generation (RAG) system deployed over a multi-author institutional corpus can give a dif
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago
DiagramRAG: A Lightweight Framework to Retrieve Scientific Diagram for Figure Generation
arXiv:2605.27931v1 Announce Type: new Abstract: Scientific diagrams are essential for communicating complex methodologies in academic papers. A natural way for
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago
Relevant Is Not Warranted: Evidence-Force Calibration for Cited RAG
arXiv:2605.28044v1 Announce Type: new Abstract: Cited RAG evaluation often treats visible sources as a grounding signal, but a real, topically relevant citation
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago
RAGe: A Retrieval-Augmented Generation Evaluation Framework
arXiv:2605.27445v1 Announce Type: cross Abstract: Deploying Large Language Model (LLM) applications, particularly those relying on Retrieval-Augmented Generatio
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago
Securing Retrieval-Augmented Generation: A Taxonomy of Attacks, Defenses, and Future Directions
arXiv:2604.08304v2 Announce Type: replace-cross Abstract: Retrieval-augmented generation (RAG) extends large language models (LLMs) with external knowledge, but
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago
Cordon-MAS: Defending RAG against Knowledge Poisoning via Information-Flow Control
arXiv:2605.26754v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG) increasingly underpins high-stakes applications, yet remains vulnerable t
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago
Leveraging Spreading Activation for Improved Document Retrieval in Knowledge-Graph-Based RAG Systems
arXiv:2512.15922v3 Announce Type: replace Abstract: Despite initial successes and a variety of architectures, retrieval-augmented generation systems still strug
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago
Through the Stealth Lens: Attention-Aware Defenses Against Poisoning in RAG
arXiv:2506.04390v2 Announce Type: replace-cross Abstract: Retrieval-augmented generation (RAG) systems are vulnerable to attacks that inject poisoned passages i
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago
ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation
arXiv:2605.18762v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) is widely used to augment large language models with external knowledge r
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago
Improving Retrieval-Augmented Generation without Taxonomy-based Error Categorization
arXiv:2605.18772v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) improves the factual accuracy of large language model (LLM) outputs by gr
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago
Query-Aware Flow Diffusion for Graph-Based RAG with Retrieval Guarantees
arXiv:2605.18775v1 Announce Type: cross Abstract: Graph-based Retrieval-Augmented Generation (RAG) systems leverage interconnected knowledge structures to captu
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago
Bridge: Retrieval-Augmented Spatiotemporal Modeling for Urban Delivery Demand
arXiv:2605.19172v1 Announce Type: cross Abstract: Forecasting urban delivery demand becomes substantially more challenging when newly added service regions lack
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago
CDS4RAG: Cyclic Dual-Sequential Hyperparameter Optimization for RAG
arXiv:2605.08333v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) is sensitive to the vast hyperparameters of the retriever and generator,
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 1mo ago
Generating Leakage-Free Benchmarks for Robust RAG Evaluation
arXiv:2605.08838v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG) is widely used to augment large language models (LLMs) with external know
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 2mo ago
From Clouds to Hallucinations: Atmospheric Retrieval Hijacking in Remote Sensing Vision-Language RAG
arXiv:2605.07273v1 Announce Type: cross Abstract: Multimodal RAG systems increasingly rely on vision-language retrievers to ground visual queries in external te
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 2mo ago
LARAG: Link-Aware Retrieval Strategy for RAG Systems in Hyperlinked Technical Documentation
arXiv:2605.07517v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) enhances the factual grounding of Large Language Models by conditioning t
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 2mo ago
Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction
arXiv:2605.05242v1 Announce Type: cross Abstract: Modern retrieval systems, whether lexical or semantic, expose a corpus through a fixed similarity interface th
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 2mo ago
Securing the Agent: Vendor-Neutral, Multitenant Enterprise Retrieval and Tool Use
arXiv:2605.05287v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) and agentic AI systems are increasingly prevalent in enterprise AI deploy
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 2mo ago
LeakDojo: Decoding the Leakage Threats of RAG Systems
arXiv:2605.05818v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) enables large language models (LLMs) to leverage external knowledge, but
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 2mo ago
AutoRAGTuner: A Declarative Framework for Automatic Optimization of RAG Pipelines
arXiv:2605.02967v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) enhances LLMs, but performance is highly sensitive to complex architectur
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 2mo ago
When RAG Chatbots Expose Their Backend: An Anonymized Case Study of Privacy and Security Risks in Patient-Facing Medical AI
arXiv:2605.00796v1 Announce Type: cross Abstract: Background: Patient-facing medical chatbots based on retrieval-augmented generation (RAG) are increasingly pro
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 2mo ago
E-MIA: Exam-Style Black-Box Membership Inference Attacks against RAG Systems
arXiv:2605.00955v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) equips large language models (LLMs) with external evidence by retrieving
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 2mo ago
Seeking Information with RAG-Assistants: Does Model Size Matter in Human-AI Collaborations?
arXiv:2605.00964v1 Announce Type: cross Abstract: Much research on LLMs has focused on increasing benchmark performance. However, the evaluation of such models
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 2mo ago
NeocorRAG: Less Irrelevant Information, More Explicit Evidence, and More Effective Recall via Evidence Chains
arXiv:2604.27852v1 Announce Type: cross Abstract: Although precise recall is a core objective in Retrieval-Augmented Generation (RAG), a critical oversight pers
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 2mo ago
Lightweight and Production-Ready PDF Visual Element Parsing
arXiv:2604.23276v1 Announce Type: cross Abstract: PDF documents contain critical visual elements such as figures, tables, and forms whose accurate extraction is
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 2mo ago
Rethinking Retrieval-Augmented Generation as a Cooperative Decision-Making Problem
arXiv:2602.18734v2 Announce Type: replace-cross Abstract: Retrieval-Augmented Generation (RAG) has demonstrated strong effectiveness in knowledge-intensive task
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 2mo ago
Adaptive Defense Orchestration for RAG: A Sentinel-Strategist Architecture against Multi-Vector Attacks
arXiv:2604.20932v1 Announce Type: cross Abstract: Retrieval-augmented generation (RAG) systems are increasingly deployed in sensitive domains such as healthcare
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 2mo ago
Semantic Recall for Vector Search
arXiv:2604.20417v1 Announce Type: cross Abstract: We introduce Semantic Recall, a novel metric to assess the quality of approximate nearest neighbor search algo
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 2mo ago
RSRCC: A Remote Sensing Regional Change Comprehension Benchmark Constructed via Retrieval-Augmented Best-of-N Ranking
arXiv:2604.20623v1 Announce Type: cross Abstract: Traditional change detection identifies where changes occur, but does not explain what changed in natural lang
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ArXiv cs.AI 🔍 RAG & Vector Search 📄 Paper ⚡ AI Lesson 2mo ago
Coverage, Not Averages: Semantic Stratification for Trustworthy Retrieval Evaluation
arXiv:2604.20763v1 Announce Type: cross Abstract: Retrieval quality is the primary bottleneck for accuracy and robustness in retrieval-augmented generation (RAG
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