https://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试 | 算法工程师 | 面试题库 | 强化学习｜数据合成

List of software that allows searching the web with the assistance of AI: https://hf.co/spaces/felladrin/awesome-ai-web-search

High performance and CommonMark compliant HTML to Markdown converter. Maintained by the Kreuzberg team. Kreuzberg is a fast, polyglot document intelligence engine with a Rust core. It extracts structured data from 98+ document formats using streaming parsers and built-in OCR.

🔥 A Survey on AI Auto-Research

A systematic AI Agent development tutorial covering LLM agents, RAG, tool use, memory systems, multi-agent systems, LangChain, LangGraph, MCP, and agentic RL.｜从零开始学 AI Agent 开发 | 系统、全面、实战导向的 Agent 开发教程 | 每日自动追踪 arXiv 最新论文 | Learn AI Agent Development from Scratch

Hallucinations (Confabulations) Document-Based Benchmark for RAG. Includes human-verified questions and answers.

Local-first AI learning workspace — ask, note, review and create around your own materials. Wiki KB, Agents, Skills, creation tools.AI 学习工作台，围绕你的资料完成问答、笔记、复习和创作输出。本地优先，多模型，Wiki 知识库，AI Agent，创作工具。

High-performance Knowledge Graph engine for AI, LLMs, and GraphRAG — built for the next generation of intelligent applications.

Use LLMs for building real-world apps

Complete Zero-to-Hero Guide for Vibe Coding, AI-Assisted Development, Local LLMs, Frontend, Backend, DevOps, Cloud, Hosting, Debugging, Deployment, and AI-Native Software Engineering.

The Map Everyone's Missing: LLM Knowledge Engineering in 2026 — First unified guide connecting RAG, Context Engineering, Harness Engineering, Skill Systems, Agent Memory, MCP, and Progressive Disclosure

Code repository for AI Builders Bootcamp #1

Bedrock Knowledge Base and Agents for Retrieval Augmented Generation (RAG)

Pareto-optimal models for cleaning the web — fast, encoder-based main-content extraction from HTML.

Medical RAG QA App using Meditron 7B LLM, Qdrant Vector Database, and PubMedBERT Embedding Model.

An AI teaching assistant that allows students to interact with the teacher's course materials

FastMemory is a topological representation of text data using concepts as the primary input. It helps in improving the RAG(by replacing embedding and vectors entirely), AI memory and LLM queries by upto 100% as in the huggingface benchmarks(22+ SOTA)

Code repository for AI Builders Bootcamp #2

A curated list of PHP libraries and tools for AI, Machine Learning, and Natural Language Processing. Find everything you need to integrate modern AI capabilities into your PHP applications.

'Talk to your slide deck' (Multimodal RAG) using foundation models (FMs) hosted on Amazon Bedrock and Amazon SageMaker