Jupyter Notebook agents

A hands-on guide to understanding Claude Code's architecture and implementation | 深入浅出学习 Claude Code 源码

An intelligent financial advisory system showcasing 5 key Gen AI capabilities: Structured Output/JSON Mode, RAG (Retrieval Augmented Generation), Embeddings, Function Calling, and LangGraph Agents. Analyzes spending patterns, provides personalized recommendations, and answers finance questions with evidence-based advice.

This is AI Research Assistant repository using Gen AI and RAG model. This AI Research Assistant app is powered by Google Gemini. It helps in question answering about the provided research paper by uploading them through Streamlit, we save it in the Data folder and clean the document, index it by using Llamma-Index using Gemini Embedding Model.

All my AI Agent projects in one place. Smart, interactive, and tool-powered! 🚀

AI Agent and Agentic Ai Development Notebooks

AI-powered Smart Water Leak Detection system using Machine Learning and IoT sensor data. Includes a Streamlit dashboard for real-time leak prediction, geo-visualization, batch analysis, and AI-driven insights.

Health Query Chatbot using LLM (Mistral-7B-Instruct)

🎬 Semantic movie recommendation system using transformer embeddings, ChromaDB, LangChain, and Gradio.

This course is designed to take you from the basics to advanced concepts, providing hands-on experience in building, deploying, and optimizing AI models using Langchain and Huggingface. Perfect for AI enthusiasts, developers, and professionals

Agentic AI Learning

Artificial Intelligence-Yearning Fulfilment Unit

The workshop content I presented titled "Development of an Offline Persian AI Assistant using RAG" at the WTLAB 2025 workshops.

LLM Workshop : OpenAI and Langchain Jupyter Notebook

RAG with LM studio, local LLMs, Scientific PDF text extraction,

projet utilisant Ollama, expérimentation de RAG, agents, chat à but de faire un assistant perso

A Repository for Intelligent Agents Integrated with Retrieval-Augmented Generation for Querying Automotive Manuals.

Multi-agent RL solution for scheduling work within a graph-based digital twin of a residential complex

An efficient open Mixture-of-Experts (MoE) agent that runs on a single 24 GB GPU. Agent-first design: coding, terminal, computer-use, tool-use. v0.1.0 documentation preview — weights/code follow staged open release.

A chatbot to help coursera student with their difficulty.

This is a Frequently Asked Questions(FAQ) answering chatbot, customly built from scratch to answer any question related to IEEE-VIT.

Resigned Yann-LeCun

The future of AI is speaking Chilean, cachai?

A production-grade Retrieval-Augmented Generation (RAG) system built for 10,860+ Indian Legislative Acts. tackling the unique challenges of processing Indian legal documents—spanning multiple languages, diverse formats, and complex legislative structures

Compact LLM domain adaptation benchmark: LoRA vs RAG with custom IVF retrieval in PostgreSQL/pgvector.

Hybrid AI healthcare assistant integrating OpenBioLLM (modern biomedicine) and AyurParam (Ayurveda). Mental wellness support (via Mistral) medical report simplification, and Ayurvedic guidance ; in one system.

Learn LLM fine-tuning with an end-to-end guide for beginners and developers using Unsloth, LoRA, PEFT, and Google Colab

Companion project for my course "AI Engineering Fundamentals - Build and Deploy real LLM apps with Python"

deal.II Assistant (Large Language Model & RAG Application)

Design proteins simply with your natural language description

A cookbook of large language models (llms) design patterns.

Agentic Workflows with Generative AI: Building AI Agents using CrewAI.

Documentation for the AI Agents using Small Language Models tutorial @ MICAI 2025

FactFlow, An AI-powered media ecosystem for fact verification, article generation, and press simulation.

This project will develop a NEPSE chatbot using an open-source LLM, incorporating sentence transformers, vector database and reranking.

Implement RAG using LangChain and HuggingFace embedding models

Understanding and implementing RAGs using langchain on LLMs from scratch using APIs.

Repositório criado para armazenar os códigos, atividades e desafios do curso de Python da Asimov Academy

This AI customer support agent uses LangGraph and LangChain for query categorization, sentiment analysis, and smart escalation. Integrated with Groq's LLaMA 3.3 70B model, it streamlines workflows and ensures high-quality, consistent interactions.

Mental health support chatbot built with Google's T5-Large, fine-tuned on established psychological practices to deliver empathetic, research-backed guidance.

Production RAG chatbot serving 3,232 Q&As with <3s latency and ~95% accuracy using LangChain and ChromaDB

This project is an Ecommerce Chatbot developed to enhance customer interaction and assist with product recommendations, order queries, and FAQs. The chatbot is built using Python and Flask, integrated with LangChain for natural language processing (NLP), and Astra DB as a vector store for storing and retrieving product-related data.

This project demonstrates how to extract structured information from PDF documents using a combination of Langchain, OpenAI models, and the DocLing library. It provides a framework for parsing PDFs and leveraging LLMs to identify and format key data points.

Aspect Based Sentiment Analysis (ABSA) of Customer Reviews

IntelliShelf, a full-stack AI-powered demo platform that combines Computer Vision, LLMs, and RAG to deliver a futuristic musical instrument e-commerce experience. From automated defect detection to LLM-generated descriptions and FAQ-based chatbot assistance, everything is built with modularity and scalability in mind.

Offline AI for emergencies with local context and cited answers from community Knowledge Packs.

Agentic personal medical assistant that reasons over medical data using multi-agent orchestration, with leveraging mutiple ML/DL pre-trained models, with addition to relational and vector databases.

论文自动化分析工具

A comprehensive library for Retrieval-Augmented Generation (RAG), featuring both basic and advanced RAG implementations. Built with LangChain for sophisticated RAG pipelines and LlamaIndex for a lightweight, simple RAG setup. Ideal for developers exploring knowledge retrieval and augmentation with LLMs. 🚀

Stock Analysis Tool Agent

Chatbot zu den Wahlprogrammen zur BTW 2025

Build an AI Agent with long term memory using LangGraph

This repository demonstrates Cache-Augmented Generation (CAG) using the Mistral-7B model.

This repo contains codes for RAG using docling on colab notebook with langchain, milvus, huggingface embedding model and LLM

This repo is the comprehensive guide, covering Langchain integration with Huggingface models. Learn to build, deploy, and optimize cutting-edge AI applications through hands-on projects and real-world examples.

A notebook to ask GPT-3.5-Turbo questions about a PDF document while keeping track of the previous questions (memory).

Architect helps you quickly prototype and validate your ideas for hackathon projects.

Centrale-NLP-Public-Ressources : This repository is about the NLP class 2023/2024

A collection of Google Colab notebooks featuring experiments, assignments, and projects in Generative and Agentic AI, serving as a resource for learning, collaboration, and research exploration.

A Contextual Retrieval RAG application to chat with a PDF or Text file

My LangGraph-built AI assistant that provides conversational access to my professional portfolio. It leverages tool-calling to dynamically fetch and present data from my GitHub, answer questions about my skills, and discuss my project work.

GEERS AI 2024

Repo from AWS GenAI workshop—build cost-efficient agentic LLM systems using SageMaker, Bedrock, and Strands.

CV/Resume to Portfolio Website Generator

This project leverages the crewAI AI agents to create a sophisticated support system. These agents provide top-notch support and quality assurance for customer inquiries.

Automated resume generation based on job link using CrewAi

This project demonstrates the use of CrewAI's multi-agent system to manage various aspects of event planning and execution.

🛠️ Explore hands-on notebooks to master LLMs, RAG, LangChain, CrewAI, and multi-agent systems for effective AI learning and experimentation.

Coursera - deeplearning.ai crewai course

AutoGen Multi-agent Conversation and Recall using Memori

A step-by-step tutorial on building an AI Agent system to recommend courses using AutoGen and LLaMA. Learn how to create autonomous agents that analyze CVs, extract key skills, and suggest personalized courses for skill development.

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

Jupyter Notebooks exploring autogen

📄 Preprint submitted to Artificial Intelligence in Medicine 🏥 - "MediCARE: Medical Collaborative Agents REasoning over Interpretable Heterogeneous Graphs" 💊📊 - University of Naples "Federico II" 🎓

Generative question answering bot using custom data based on flan/T5 model

Simple introduction to RAG with some code

Skin Cancer & Diseases Classification CNN Model for Intel Gen AI Hackathon - Cognizance

🦙 Llama - Welcome to the Llama-API repository! This repository is dedicated to testing the llamaapi Python library to access LlamaAPI. Whether you're a developer, researcher, or just a tech enthusiast, you'll find valuable resources and examples here.

An AI based chatbot built for SaaS Entrepreneurs

Generating stock reports using OpenAI GPT-4, retrieving recent finance news in Interactive Brokers, and accessing indexed data using LLama index for GPT-4 analysis.

Creating a chat application that can handle multiple files using LlamaIndex, OpenAI, and Streamlit involves several steps

🤗Archive of follow-along notebooks and demos, with additional trials.

MAPPO experiments for unsignalized intersections using SUMO and Gym.

shepherd model

the basics of multi-agent systems in python

I’ve completed the Nodebook Data Science & Machine Learning program, where I worked on real-world projects using Python, Machine Learning, Deep Learning, and Large Language Models (LLMs). As part of my learning journey, I also explored Generative AI and AI Agents, gaining hands-on experience in building smart systems that can think, plan, and act.

A local agent RAG implementation using Gemma3 via Ollama

A comprehensive implementation of the HuggingFace and Langchain-academy Agentic AI course. Explore LLM-powered agents using transformers-agents, custom tools, multi-step reasoning, and real-world deployment workflows across Hugging Face's agent framework and inference APIs.

AI Agent development using Google's Agent Development Kit (ADK) - Building intelligent agents with Gemini models and Google Search integration

Bachelor Thesis of IU International University, Germany 🇩🇪

Build Your AI Agent with LangGraph from Zero to Hero - Course Material

Simulating creative government policy generation in agent-based economic models using LLMs.

Antonio Gulli 所著《Agentic Design Patterns》一书的中英文 PDF 全文和相应代码。

A COGITO NTNU project creating an Agentic AI system that predicts stocks and gives recommendations.

4th.GRC — A policy-driven Agentic AI governance and orchestration platform integrating PolicyEngine, Skill Registry, RAG Safety Envelopes, Constraint Evaluators, and evidence-based compliance automation.

Frisque (Faux risque) - AI Powered due diligence platform

A structured, end-to-end knowledge base for building modern AI systems — from foundations (Math, Python, ML/DL) to production (LLMs, RAG, Agents, Deployment).

An AI agent to make resume

Layered memory system for LLM agents using semantic, episodic, and procedural memory with Qdrant-backed long-term storage.

This repository contains LangGraph tutorial code for building complex LLM-powered applications. It showcases practical examples of using LangGraph to manage multi-step workflows and stateful logic with language models.

Das Notebook Repository für die EFK Januar Schulung 2025 zu Künstlicher Intelligenz.