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RAG

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167 articles
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Data Thinking Notes
Data Thinking Notes
Jun 8, 2025 · Artificial Intelligence

Explore the Complete AI Large Model Technology Landscape: Architecture Diagrams Across Industries

This article presents a panoramic view of AI large‑model technologies, showcasing a series of architecture diagrams that illustrate general model frameworks, RAG knowledge‑base structures, agricultural and retail applications, IoT integration, compliance and risk‑management setups, agent platforms, and CRM‑enhanced solutions.

AIArchitectureIndustry Applications
0 likes · 3 min read
Explore the Complete AI Large Model Technology Landscape: Architecture Diagrams Across Industries
Data Thinking Notes
Data Thinking Notes
Apr 17, 2025 · Artificial Intelligence

How Dify Accelerates Generative AI App Development with Low‑Code and Modular Design

Dify is an open‑source LLM application platform that blends BaaS and LLMOps, offering low‑code development, modular components, extensive model support, and advanced retrieval features, while also detailing its current limitations and recent enhancements such as MySQL integration and Elasticsearch‑based RAG capabilities.

AILLMMySQL
0 likes · 7 min read
How Dify Accelerates Generative AI App Development with Low‑Code and Modular Design
Data Thinking Notes
Data Thinking Notes
Apr 13, 2025 · Artificial Intelligence

How to Build a Retrieval‑Augmented Generation Knowledge Base with DeepSeek and RAGFlow

This guide walks you through the fundamentals of Retrieval‑Augmented Generation, introduces the open‑source RAGFlow framework, details installation steps, shows how to integrate DeepSeek LLMs, and explores practical application scenarios such as intelligent customer service and enterprise document QA.

AIDeepSeekLLM
0 likes · 11 min read
How to Build a Retrieval‑Augmented Generation Knowledge Base with DeepSeek and RAGFlow
Data Thinking Notes
Data Thinking Notes
Nov 12, 2024 · Artificial Intelligence

Unlock Data Power with DB‑GPT: An Open‑Source AI Framework for Data Development

DB‑GPT is an open‑source AI‑native data application framework that unifies multi‑model management, RAG, agents, and workflow orchestration to simplify building large‑model‑driven data solutions, offering features such as private Q&A, multi‑source analytics, automated fine‑tuning, and robust privacy security.

AIAgentsData Framework
0 likes · 13 min read
Unlock Data Power with DB‑GPT: An Open‑Source AI Framework for Data Development
Data Thinking Notes
Data Thinking Notes
Sep 1, 2024 · Artificial Intelligence

Master LLMs: Basics, Prompt Engineering, RAG, Agents & Multimodal AI

This article provides a comprehensive overview of large language models, covering their fundamental concepts, historical milestones, parameter scaling, prompt engineering techniques, retrieval‑augmented generation, autonomous agents, and multimodal model applications, illustrating how these technologies reshape AI capabilities across domains.

AI agentsLLMMultimodal
0 likes · 22 min read
Master LLMs: Basics, Prompt Engineering, RAG, Agents & Multimodal AI
Data Thinking Notes
Data Thinking Notes
Aug 1, 2024 · Artificial Intelligence

Unlocking Vertical Domain LLMs: Advantages, Challenges, and Alignment Strategies

Over the past year our team explored applying large language models to specialized domains, detailing their professional benefits, unique challenges such as accuracy and knowledge‑base maintenance, and presenting solutions like alignment enhancement via BPO, Text2API, RAG, and advanced SFT/DPO techniques.

RAGSFTText2API
0 likes · 10 min read
Unlocking Vertical Domain LLMs: Advantages, Challenges, and Alignment Strategies
Data Thinking Notes
Data Thinking Notes
Jan 7, 2024 · Artificial Intelligence

Boost Text2SQL Accuracy with Retrieval‑Augmented Generation and LangChain

This article explains how Retrieval‑Augmented Generation (RAG) can improve LLM‑based Text2SQL conversion, covering RAG fundamentals, LangChain implementation steps, practical enhancements for SQL agents, and future directions for integrating domain knowledge.

AI agentsLLMLangChain
0 likes · 16 min read
Boost Text2SQL Accuracy with Retrieval‑Augmented Generation and LangChain