Agent Innovator Lab – building AI agents on Azure, covering search optimization, agent design, evaluation, and RAG best practices.

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RxLM-Med: A multimodal clinical AI agent featuring System 2 reasoning, cross-lingual hierarchical RAG (BM25 + FAISS + RRF), deterministic medical calculation engine, and Traffic Light Protocol (TLP) safety alignment — built on Qwen-VL with LoRA fine-tuning, SFT/DPO alignment, and INT4 quantization for real-world lab report interpretation.

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Labs for agentic AI — covering Azure AI Foundry, Foundry Agent Service, Microsoft Agent Framework, AI Agents, RAG, Azure AI Search, and Azure Container Apps(ACA)

Full-stack LLM Engineering Lab. Features: Autonomous Agents (ReAct/AutoGPT) | Fine-Tuning Llama/Mistral (SFT/DPO) | Large Model Deployment (DeepSeek 671B / 2.5-bit) | Advanced RAG (Hybrid Search) | Function Calling (Stream/Text-to-SQL/External APIs) | Frameworks (LangChain, Semantic Kernel, OpenAI) | Daily SOTA Paper Tracking. From theory to 0-to-1

Learn to build agent, rag application with Semantic Kernel through hands-on labs

IBM Tech 2025 lab on Gen AI (RAG, Agentic, RHELAI)

Data scientist lab run in Google Colab or locally in Anaconda using JupyterLab to experiment in creating AI agents in python using various Open Source and Frontier LLM models. Projects include RAG, inference, function calling and multi-modal techniques.

This repository contains my hands-on solutions and code implementations for the IBM RAG and Agentic AI Professional Certificate course. All official labs and exercises are reproduced and adapted here, with a focus on running them using large language models (LLMs) available in mainland China, such as ZhipuAI's ChatGLM series.

Learn how to build and extend AI-powered agents using Microsoft Copilot Studio and Azure AI Foundry. This repo includes prerequisites, Bicep templates, Prompt Flow configs, lab instructions, and sample data to support a hands-on workshop focused on RAG, integration, and observability.

Agentic RAG lab with FastAPI + Streamlit: document ingestion to Chroma, LangGraph routing (direct/retrieve), Ollama LLM/embeddings, LLMOps observability via Langfuse + Ragas eval, optional Postgres memory, Keploy replay tests, CI.

Labs for Prompt Engineering, AutoGen, AI Agents, Vibe Coding, GitHub Copilot, AKS, RAG, and Azure AI Search.

Wiii - Multi-domain Agentic RAG Platform by The Wiii Lab. FastAPI + LangGraph + Gemini + PostgreSQL + Neo4j. Tauri v2 desktop. 6016 tests.

Labs for agentic AI — covering Azure AI Foundry, Foundry Agent Service, Microsoft Agent Framework, AI Agents, RAG, Azure AI Search, and Azure Container Apps(ACA)

Structured AI Engineering roadmap with beginner-friendly notes, curated resources, and practical labs (LLMs, RAG, fine-tuning, agents, production tradeoffs).

Building an agentic RAG with a few bespoke features; intended to be used later on to parse my entries.

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Codes for Agentic RAG Assignments

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Agentic RAG system for analyzing SEC filings - built with Dify, Qdrant, and tools from The Menon Lab blog

Covers Generative AI, LLMs, RAG, LangChain, LangGraph, and Agentic AI systems — blending theory, implementation, and evaluation through real-world projects and labs.

🧪 AI Engineering Lab. A sandbox for exploring AI Engineering concepts. Experimenting with LLMs, RAG, Agents, Skills, and more.

Intelligent stock analysis platform featuring a DeepSeek-V3 Agent, Virtual Trading Lab, and Interactive Academy. Built with Flask, LangChain 1.1, and RAG architecture.

Full-Stack Generative AI Labs. Hands-on project implementations covering Agentic Flows (LangGraph), advanced RAG pipelines, Vector DBs (Qdrant/Chroma), and scalable FastAPI deployment. Demonstrates mastery of the modern AI stack.

Hands-on, multi-provider AI engineering labs — OpenAI, Anthropic Claude, Google, local models and more. From raw API usage to RAG, agents, and production patterns.

AIStudio is a modular AI engineering platform that demonstrates end-to-end LLM capabilities — local RAG search, agentic automation, observability, guardrails, CI/CD, and cloud-ready architecture. Designed as a hands-on lab and portfolio showcase for modern AI engineering.

**Aeon** is a self-hosted AI platform for home lab environments running on K3s. The system features **Cipher**, an intelligent AI agent with RAG capabilities, web search, code execution, and self-tuning optimization.

AI Lab Factory is a personal development environment for building AI-powered automation systems. It’s designed to explore and create real-world applications using LLMs, agents, and RAG pipelines — focusing on how AI can boost business productivity.

A full-stack AI & ML engineering lab covering Python, Statistics, NumPy, Pandas, Matplotlib, Machine Learning, Deep Learning (ANN, CNN), Computer Vision (OpenCV, YOLO), NLP, LangChain, LangGraph, and Generative AI (RAG, LLMs, Embeddings, Agents). Includes FastAPI and hands-on projects.