#RAG retrieval

1780 related articles

Jul 29, 2026·3 min

A Guide to Selecting Datasets for RAG Experiments: Evaluating Dense, Sparse, and Hybrid Retrieval

A systematic guide to standardized datasets for RAG retrieval experiments, covering BEIR, MS MARCO, Natural Questions, and TREC benchmarks for dense, sparse, and hybrid retrieval evaluation.

Jul 15, 2026·3 min

New Retrieval Paradigms: Hobbit's Hard Negative Construction and Disco's Collaborative Coverage Index Design

A deep dive into two frontier dense retrieval works: Hobbit uses gradient analysis to automatically construct hard batches; Disco replaces single-document competition with submodular collaborative coverage, reshaping Top-K retrieval.

Jul 13, 2026·3 min

Understanding RAG from Scratch: A Complete Guide to Retrieval-Augmented Generation

RAG (Retrieval-Augmented Generation) is a key technology for solving LLM hallucinations. This guide breaks down how RAG works, its advantages, and real-world use cases — no math required.

Jul 11, 2026·5 min

Embedding Fine-Tuning in Practice: A Core Technique for Improving RAG Retrieval Quality

Poor RAG retrieval? The root cause often lies in the Embedding model. This article explores why fine-tuning embedding models is necessary, the limits of general Embeddings, and where Embedding fine-tuning fits in RAG optimization.

Jul 10, 2026·3 min

GBrain Local Deployment: 12-Step Deep Retrieval Pipeline Outperforms Traditional RAG by 31%

GBrain's 12-step deep retrieval pipeline and knowledge graph construction outperforms traditional RAG by 31% — with full local offline deployment for data security and lower API costs.

Jun 27, 2026·3 min

Complete RAG System Development Guide: Data Preprocessing, Vector Retrieval, and Output Optimization in Practice

A complete guide to building RAG systems: covering data preprocessing, vector databases, embedding models, hybrid search, re-ranking, and advanced topics like Graph RAG and multimodal RAG.

Jun 19, 2026·3 min

The Complete Evolution of RAG: A Six-Generation Journey from Naive Retrieval to Multimodal

A complete guide to RAG evolution from Naive RAG through Advanced, Agentic, Graph, and Multimodal RAG — covering core techniques, pain points solved, and real-world use cases.

Jun 18, 2026·3 min

Enterprise-Grade RAG Full-Pipeline Optimization: Multi-Turn Conversations, Retrieval Tuning, and Production Engineering in Practice

A deep dive into full-pipeline optimization for enterprise RAG systems, covering multi-turn query rewriting, retrieval tuning, and quality evaluation to take RAG from demo to production.

Getting Started with RAG: What Is Retrieval-Augmented Generation and How Does It Solve LLM Hallucination?

Tutorials

Jun 3, 2026·2 min

Getting Started with RAG: What Is Retrieval-Augmented Generation and How Does It Solve LLM Hallucination?

RAG (Retrieval-Augmented Generation) is the core solution for LLM hallucination. Learn RAG concepts, how it works, three causes of hallucination, and the complete learning path from basics to Knowledge Graph RAG.

Getting Started with RAG: A Complete Guide from LLM Hallucinations to Retrieval-Augmented Generation

Deep Dives

May 27, 2026·3 min

Getting Started with RAG: A Complete Guide from LLM Hallucinations to Retrieval-Augmented Generation

A deep dive into RAG (Retrieval-Augmented Generation) technology, covering LLM hallucinations, data staleness, and limited expertise, plus RAG workflows, core components, and LangChain learning paths.

Core Principles of RAG Retrieval: A Complete Guide to Top-K Rough Recall and Rerank Precision Sorting

Deep Dives

May 24, 2026·3 min

Core Principles of RAG Retrieval: A Complete Guide to Top-K Rough Recall and Rerank Precision Sorting

Deep dive into RAG retrieval: how Top-K rough recall filters candidates, Rerank precision sorting improves relevance, and compression optimizes context for LLM generation.

LightningRAG: A Full-Stack RAG Framework in Go, Built with Vue + Gin for High-Performance Retrieval-Augmented Generation

Product Reviews

May 20, 2026·2 min

LightningRAG: A Full-Stack RAG Framework in Go, Built with Vue + Gin for High-Performance Retrieval-Augmented Generation

LightningRAG is an open-source full-stack RAG framework built with Vue and Gin, supporting knowledge base management, vector search, and multi-model integration. A deep dive into its architecture and comparison with LangChain and Dify.

Coze Knowledge Base Setup Tutorial: A Practical Guide to RAG Retrieval and Workflow Configuration

Tutorials

May 20, 2026·2 min

Coze Knowledge Base Setup Tutorial: A Practical Guide to RAG Retrieval and Workflow Configuration

Learn how to build a Coze knowledge base with RAG retrieval and workflow configuration. Covers document chunking strategies, agent setup, and enterprise Q&A.

Jul 30, 2026·3 min

Yoggi: A Safe AI Chat Assistant Built Specifically for Children Ages 3-15

Yoggi is a safe AI chat assistant for children ages 3-15, offering age-adaptive answers, real-time voice chat, image generation, strict content filtering, and parental controls.

Jul 30, 2026·2 min

Aymo AI: Deep Dive into the Team Collaboration Platform Integrating 45+ Top AI Models

Aymo AI integrates 45+ major AI models like GPT, Claude, and Gemini into one secure workspace with side-by-side comparison, file chat, web search, and team collaboration to reduce multi-platform costs.

Jul 30, 2026·3 min

Gemini's Identity Crisis: Understanding AI Self-Recognition Hallucinations and Identity Confusion

Google Gemini exhibits identity confusion, claiming to be other AI models. Deep dive into why LLMs get their identity wrong, how training data contamination causes AI hallucinations, and what this means for AI product trustworthiness.

Jul 30, 2026·3 min

Is a Linguistics-to-Computational Linguistics Master's Worth It? Career Prospects and Transition Advice

Is a linguistics-to-computational-linguistics master's worth it? This article analyzes career paths in computational linguistics in the AI era, the competitive advantages of a hybrid background, and practical advice for transitioning from humanities to NLP.

Jul 30, 2026·3 min

Second Brain Desktop: A Persistent Memory Store Across AI Tools

Second Brain desktop brings unified persistent memory across AI tools for Mac and Windows, featuring intelligent recall, auto-built knowledge graphs, and self-hosted data via Cloudflare.

Jul 30, 2026·2 min

Firecrawl's New /search API: 10x Token Efficiency, 94.7% SimpleQA Accuracy

Firecrawl releases new /search API using a dedicated model to extract precise excerpts, achieving 10x token efficiency and 94.7% SimpleQA accuracy for AI agents.

Jul 30, 2026·3 min

Fluree AI: A Trusted Data Layer Alternative to RAG, Providing Verifiable Context for AI Agents

Fluree AI replaces traditional RAG by querying structured data directly, giving AI agents cited, verifiable, and permission-controlled enterprise context via MCP protocol.