AI Agents For Beginners
microsoft
12 Lessons to Get Started Building AI Agents
67.3KGitHub
OPENAGENTSKILL / DIRECTORY
AI Agent Skills
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Results: 25
Pathway
pathwaycom
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
62.8KGitHub
Llm App
pathwaycom
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, Pos…
59.3KGitHub
RAG Techniques
NirDiamant
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
28.1KGitHub
CV
AccumulateMore
✅（已完结）超级全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】【大飞 大模型Agent】
23.2KGitHub
WrenAI
Canner
Give AI agents the context to query business data correctly through the open context layer that gives AI agents grounded, governed memory, context, SQL across 20+ data s…
15.5KGitHub
Happy Llm
datawhalechina
32.2KGitHub
Llama Cookbook
meta-llama
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to e…
18.4KGitHub
LLMForEverybody
luhengshiwo
每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈
6.7KGitHub
Llm Universe
datawhalechina
本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/
13.4KGitHub
Llm Graph Builder
neo4j-labs
Neo4j graph construction from unstructured data using LLMs
4.9KGitHub
GenAI Showcase
mongodb-developer
4.2KGitHub
Oracle AI Developer Hub
oracle-devrel
Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services
4.2KGitHub
GenerativeAIExamples
NVIDIA
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
4.1KGitHub
Agentic RAG For Dummies
GiovanniPasq
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
3.5KGitHub
Pandas AI
sinaptik-ai
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
23.6KGitHub
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Frontend and UI skills →
Design direction, Figma implementation, UI review, React performance, browser QA, and safe preview deployments.
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Code review, repo inspection, testing, planning, shipping, and engineering workflows for coding agents.
Research and RAG skills →
Research, recent-events briefings, PDF parsing, markdown conversion, RAG ingestion, and knowledge workflows.
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Stock analysis, market research, quant backtesting, financial data, and investment research skills.
Web scraping skills →
Crawling, scraping, extraction, browser automation, structured data capture, and website-to-markdown workflows.
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Video-generation prompts, B-roll, Vox-style explainers, camera direction, captions, and creative-production workflows.
Design and creative skills →
Image, video, creative production, UI design, multimodal generation, and visual workflow skills.
Data and analytics skills →
Data analysis, analytics, ETL, notebooks, databases, tables, charts, and reporting workflows.