#Retrieval-Augmented Generation
1595 related articles
Tutorials·3 min
Ollama Tutorial: The Complete Guide to Running Large Models Locally (2025 Updated)
Complete guide to deploying LLMs locally with Ollama. Supports DeepSeek, Qwen, Kimi-K2.5 and more. 170K GitHub Stars, one-click install, full data privacy, zero API costs.
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Tutorials·2 min
Ollama Tutorial: Complete Guide to Running DeepSeek, Qwen, and Other LLMs Locally with One Click
Complete guide to Ollama: install and run DeepSeek, Qwen, Kimi-K2.5, GLM-5 and more LLMs locally. 170K+ GitHub Stars, the most popular local LLM framework for offline AI inference and privacy.
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Tech Frontiers·2 min
Claude Memory Compiler: An Open-Source Solution for Giving AI Coding Assistants Persistent Memory
Claude Memory Compiler is an open-source project that builds an evolving memory system for Claude Code through a three-layer automated pipeline, solving the persistent amnesia problem of AI coding assistants.
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Tech Frontiers·3 min
Osaurus: A Native macOS Offline AI Agent Framework — 5,000+ Star Open Source Project Deep Dive
Deep dive into Osaurus — a native macOS AI agent framework supporting fully offline operation, persistent memory, cryptographic identity, and arbitrary model integration. Built with Swift and C for Apple Silicon. 5,100+ GitHub stars.
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Tech Frontiers·3 min
Strands Agents: An Open-Source SDK for Building AI Agents in Just a Few Lines of Python
Strands Agents is a trending GitHub project using model-driven design to let developers build AI Agents in just a few lines of Python. Learn its philosophy, use cases, and advantages over LangChain.
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Tutorials·1 min
Programmer Yupi's Open-Source Coding Bible: The Most Comprehensive Learning Roadmap for 2026
Explore Programmer Yupi's open-source codefather project on GitHub — a comprehensive 2026 programming learning roadmap covering Java, Python, frontend, AI apps, RAG, and AI Agent development.
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Product Reviews·1 min
AIChat: A Deep Dive into the All-in-One LLM Command-Line Tool Built with Rust
AIChat is a Rust-based all-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, and AI Agents with support for OpenAI, Claude, Gemini, and more.
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Deep Dives·3 min
LangChain4j Explained: The Go-To Framework for Java Developers Building LLM Applications
A deep dive into LangChain4j's core features including unified API abstraction, RAG, Agent tool calling, and Spring Boot integration for building enterprise AI apps in Java.
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Product Reviews·4 min
RuoYi-AI Open Source Framework: A One-Stop Solution for Java Enterprise AI Application Development
A deep dive into RuoYi-AI, a Java-based enterprise AI development platform supporting multi-vendor LLM integration, RAG knowledge bases, and agent orchestration. 5,200+ Stars on GitHub.
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Product Reviews·4 min
RuoYi-Vue-Pro Deep Dive: A 37K Star Enterprise-Grade Java Full-Stack Development Platform
Deep dive into RuoYi-Vue-Pro: a 37K Star enterprise Java platform built on Spring Boot + MyBatis Plus + Vue, with multi-tenancy, workflows, CRM, ERP, and AI modules.
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Tutorials·3 min
Ollama Tutorial: The Simplest Way to Run DeepSeek and Other LLMs Locally
Complete guide to deploying LLMs locally with Ollama. Supports DeepSeek, Qwen, Kimi-K2.5 and more. Learn how this 170K-Star open-source tool enables one-click setup, offline inference, and ecosystem integration.
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Product Reviews·2 min
The Complete Guide to AnythingLLM: A Privacy-First AI Productivity Tool for Local Deployment
Deep dive into AnythingLLM, a privacy-first open-source AI tool for local deployment. Covers RAG document chat, multi-model support, AI Agents, and more — zero config, nearly 60K GitHub Stars.
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Product Reviews·4 min
Cube Studio: Tencent's Open-Source All-in-One AI Platform Covering the Full Pipeline from Large Model Training to Inference
Deep dive into Tencent Music's open-source Cube Studio cloud-native AI platform, covering distributed training, LLM fine-tuning, vLLM inference, VGPU virtualization, and Huawei Ascend adaptation.
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Product Reviews·4 min
Deep Dive into Cube Studio: Tencent's Open-Source All-in-One AI Platform
Deep dive into Tencent's open-source AI platform Cube Studio, covering distributed training, large model fine-tuning and inference, Pipeline orchestration, VGPU virtualization, and Huawei Ascend support for enterprise cloud-native MLOps.
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Tutorials·3 min
Microsoft's Open-Source Generative AI Course: 21 Lessons to Build AI Apps from Scratch (110K Stars)
Microsoft's official open-source Generative AI for Beginners course features 21 lessons covering LLM fundamentals, Prompt Engineering, and hands-on AI app development. 110K+ GitHub Stars, Jupyter Notebook-based learning for developers.
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Tutorials·2 min
Ollama Tutorial: Deep Dive into the 170K-Star Local LLM Framework
Deep dive into Ollama: run DeepSeek, Qwen, Kimi-K2.5 and more locally with one command. Covers installation, model ecosystem, architecture, and use cases for local LLM deployment.
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Product Reviews·4 min
Deep Dive into RuoYi-Vue-Pro: A 37K Star Enterprise-Grade Java Full-Stack Development Framework
Deep dive into RuoYi-Vue-Pro: a Spring Boot + Vue enterprise backend system with 37K Stars, featuring SaaS multi-tenancy, workflow, e-commerce, CRM, ERP, AI, and IoT modules.
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Product Reviews·4 min
Cube Studio Deep Dive: Tencent's Open-Source One-Stop Cloud-Native AI Platform
Deep dive into Tencent's open-source AI platform Cube Studio, covering distributed training, LLM fine-tuning, inference deployment, VGPU virtualization, and domestic hardware support for enterprise MLOps.
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Product Reviews·3 min
Agent-Reach: The Open-Source Tool That Lets AI Agents Browse the Entire Web with Zero API Fees
Agent-Reach is an open-source Python tool supporting free data scraping from Twitter, Reddit, YouTube, Bilibili, Xiaohongshu, and more. One CLI command integrates it into AI Agent frameworks like LangChain, with nearly 19,000 GitHub Stars.
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Product Reviews·3 min
The Complete Guide to AnythingLLM: A Privacy-First AI Tool with 60K Stars on GitHub
In-depth guide to AnythingLLM, a privacy-first open-source AI tool covering local deployment, RAG document chat, multi-model support, and more for building a secure private AI workbench.
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