Jupyter Notebook agents

Moroccan Legal RAG System — An Arabic NLP and Retrieval-Augmented Generation platform for Moroccan law.

This workshop covers fundamentals of Building AI Agents on Akamai Cloud

🎢 This collection of data analysis projects demonstrates techniques for extracting, transforming, analyzing, and visualizing data. Data Analytics Projects for Beginners 📈 ⚡

This repository is based on a study that if the critic overcome the generators failures or they inherit them.

These are the Microsoft Semantic Kernel Workshop notebooks. It addresses AI agents, agents collaboration and, of course, kernel, plugins, planners and function calling

Analyse Financial Market Data of AI companies with Python

Production-ready multimodal RAG pipeline for PDFs. Extracts text, tables, and images down to the atomic element level via unstructured, chunks and AI-enriches them with a vision LLM, stores them in ChromaDB, and answers queries with full multimodal context

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

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"

📈 Prediction of Particulate matter 10 value of air pollution to help people with breathing problems.

Benchmark Microsoft Foundry Content Understanding on CUAD legal contracts. Achieves 83.3% F1 score (29% better than GPT-4o baseline). Complete Python notebook with optimized schemas for contract clause extraction. Production-ready with confidence scores & cost analysis.

面向中国本科生与研究生的金融数据科学教材（含可在线运行的 notebook）

Multi-agent system that unifies heterogeneous dental data (CBCT, STL, clinical reports, photos) into a patient Digital Twin built on Gaussian Splatting, with per-region clinical attributes and longitudinal series.

Production-oriented Netflix movie recommendation engine built with machine learning, recommendation systems, GenAI, RAG, and MLOps.

面向开发、安全与 AI 的个人知识库：结构化笔记、实践代码、RAG/Agent 学习与 AI 安全研究资料。

📔📔📔Code for the blog of Lluminai📔📔📔

Early warning system for heat and cold risk. Predicts personalized thermal mortality risk by age, sex, comorbidities and activity, with an ML ensemble (XGBoost + LSTM) calibrated via conformal prediction, km² risk maps, SHAP explainability and a Telegram bot. Built on ERA5 + MoMo data.

MCP tool for AMX Mod X / GoldSrc modding, leveraging a Milvus Lite knowledge base and communicating with Large Language Models (LLMs)

RAG-tool for workshops and pilotprojects.

Complete hands-on Agentic AI bootcamp repository covering LangGraph, LangChain, AI Agents, multi-agent workflows, RAG pipelines, tool-augmented LLM systems, memory architectures, and production-grade AI application engineering for real-world intelligent systems.

CompAgent: An Agentic Framework for Visual Compliance Verification

This repository contains the implementation of a chatbot that helps in answering user's questions regarding the restaurant CapreDiem and helps users for online restaurant reservation.

RAG CLI for Oracle AI Database, super easy to set up

In an industry where personalization is key to customer satisfaction, your company wants to revolutionize how clients interact with real estate listings. The goal is to create a personalized experience for each buyer, making the property search process more engaging and tailored to individual preferences.

PassiveQA is a novel question-answering framework that teaches language models when to answer, ask for clarification, or refuse to answer - instead of always attempting to generate responses.

An intelligent system combining a sophisticated data pipeline with an AI-powered chatbot. The system features document processing capabilities, multi-modal AI integration, and a scalable architecture.

Bring Your AI Agent Live Resources! AI Agent MCP Skills Deployment Templates LangChain/ChatGPT Apps/Claude SubAgents/Agentscope and more Development

Capstone project for building a GenAI-driven Security Assistant using LangGraph, Gemini, and SerpAPI.

Event-driven multi-agent AI system for a competitive real-time restaurant strategy game with SSE orchestration, structured LLM agents, and full audit logging.

A hands-on guide to building and orchestrating AI agents with LangGraph and CrewAI, from fundamentals to deployment with FastAPI and Streamlit. Learn agent architecture, memory management, and production patterns.

Agentic AI Learning

Exploring the Emergence of Complex Systems through Individual Decisions and Relationships

Master Thesis Project about Agent and Multi-Agent Teaching Systems combined with Personal Memory

This repository hosts a Jupyter notebook that demonstrates the seamless integration of the Bard API with the LangChain library. By leveraging the capabilities of both platforms, we've crafted a custom Language Learning Model (LLM) that allows users to harness the power of Bard within the LangChain ecosystem.

Infinite power but in a pendrive

Enhancing Text Retrieval with Metadata Filters using MongoDB and LangChain Agent

Alpaca, Bloom, DeciLM, Falcon, Vicuna, Llama2, Zephyr, Mistral(MoE), RAG, Reranking, Langchain, Langsmith..

Text Correction Application with LangChain, LangGraph, and LLM

Learn GenAI by integrating OpenAI GPT, Google Gemini, Ollama and HuggingFace models using LangChain, LlamaIndex and Pinecone.

This project is an AI-powered cold email generator designed to craft personalized and professional email templates for outreach. Built with advanced natural language processing (NLP) models, it enables users to input key details and generate tailored emails for various use cases, such as sales, networking, or recruitment.

The MCQ Generator, using Langchain, creates tailored multiple-choice questions from input text. With a Streamlit interface, users upload files and customize MCQ quantity, subject, and complexity. It intelligently generates questions and logs events for tracking.

Agentic RAG with LangGraph 🔥

A conversational agent that answers user questions using transcripts from the Lex Fridman podcast.

A collection of Jupyter notebook experiments and applications centered around Generative AI with LLMs.

Generative-AI-with-Langchain-and-Huggingface explores cutting-edge generative AI concepts. Topics include LangChain basics, ChromaDB, conversational memory, vector databases, document Q&A with RAG, text summarization (refine chains, YT/video summarization), building LLMs, search engines, and advanced tools/agents.

A blog writer that takes a GitHub repo as input and produces a blog article describing how that project has been implemented

A Retrieval-Augmented Generation (RAG) powered medical chatbot that answers clinical questions by intelligently querying domain-specific medical documents.

Airline Reviews Chatbot App : The Airline Reviews Analysis app is a Streamlit application that leverages natural language processing (NLP) techniques, including GPT-3.5-turbo-0125 and Text-embedding-ada-002-v2, to provide answers to user questions based on provided context.

Video Summarization Experiments with Open LLMs

CRM AI analytics for better decision making using a Text-To-SQL agent along with a medallion architecture and data science for statistical modeling

A chatbot that let you talk with your pdf file

This repo is build to facilitate the state-of-the-art RAGs approaches with it's use cases and detailed descriptions.

AI chatbot, using LangChain and the 8-bit quantised Falcon-7B LLM. Crafted a conversational agent with Retrieval Augmented Generation (RAG) pipeline.

Improved RAG Architecture using semantic chunker, query input rewriter, and prompt engineering

This project is a RAG Q&A bot built in a jupyter notebook. It allows users to upload a custom document, which is then processed and stored in a Pinecone vector database using OpenAI embeddings. Users can ask questions about the document's content and receive accurate, context-aware answers generated by an OpenAI language model.

A curated collection of hands-on experiments, code snippets, and templates exploring the latest tools and frameworks in the Generative AI ecosystem

AI-powered Q&A chatbot using Qdrant and Ollama for retrieval-based responses about magnesium-binding protein structures. Integrates Flask for web interface.

Turn your Text into a mind map based on LLMs knowledge graph

This project is using the LangChain library and OpenAI to create an agent that can answer questions about a dataset (in this case, the iris dataset). The agent is created using a CSV agent and an OpenAI language model, which allows the user to interact with the data using natural language queries.

MediChat: An AI-powered medical chatbot using the Llama-2-7B-Chat model for precise clinical responses. Integrates Chroma DB and all-MiniLM-L6-v2 embeddings trained on medical literature, including texts like Clinical Emergency Medicine and Gale Encyclopedia. Accurate, fast, and reliable for healthcare queries.

AI Cookbooks of Various Python Notebooks and code for using AI with various LLM models, UI's and Embeddings

This is my repository for creating chatbots using various Machine learning techniques 🏆. From basic chatbots to Advanced 🔥. Continuously researching about new techniques.

A PM tool utilizing LangChain LLM prompting to analyze project data and return RAG status for project tasks.

Explore the cutting-edge world of advanced retriever and generator (RAG) models through the "Advanced-RAG-Experiments" repository. This collection of Jupyter notebooks and experiments is designed to provide a deep dive into the capabilities and nuances of advanced RAG models in the field of natural language processing.

TLDR the T&C uses an LLM to understand the contents of Terms and Conditions documents and provides a user-friendly chatbot interface for users to ask questions and receive answers.

An interactive CLI-based Smart FAQ system powered by LangChain and FAISS that retrieves accurate answers using semantic search and HuggingFace embeddings.

Centralize your own research material and consult it with the power of AI and LLMs

Built a Retrieval-Augmented Generation (RAG) chatbot using LangChain and OpenAI models.

Welcome to Build LLM Apps with LangChain, your gateway to creating powerful applications using Large Language Models (LLMs) powered by LangChain technology.

This project utilizes the LangChain and Groq to perform various analyses on loan recovery conversations. The primary functionalities include summarizing conversations, identifying key actions or next steps, and undertaking sentiment analysis of both the recovery agent and the borrower.

Research: LangChain, Titanic SQLite Database, and the API of OpenAI

This project combines youtube-dl, whisper, LangChain and ChatGPT to extract keywords from YouTube videos. It was intented as a tool for Lyon Data Science to better reference its videos.

A chat application with Django that leverages Langchain, Langgraph, Langsmith and Neo4j knowledge graph.

An agentic chatbot to answer questions regarding a hotel's information and database.

My AI projects

RAG using Ro-LLM, Langchain and ChromaDB

Helping businesses make sense of local sustainability regulations.

The project is a LangChain-based demo application integrated with Google's Gemini API, built using the Streamlit framework. It allows users to input a query or search topic through a text box, which is processed by a language model to generate helpful responses.

KT 에이블 스쿨 5기에서 진행한 프로젝트 내용들입니다

A repository for final project of NLP Bootcamp at Indonesia AI

langchain use ollama api and qwen2.5

This project utilizes a multi-agent system powered by crewAI to monitor, analyze, and strategize in the financial markets, specifically focusing on stock trading. Each agent in the system specializes in a unique aspect of trading, working together to provide comprehensive insights and actionable strategies.

ShopSmart.Ai - An intelligent shopping Assistant built with CRewAi

This project demonstrates a multi-agent system built using AutoGen and Groq's LLaMA 3 model, designed to automate the analysis of Apple (AAPL) stock's daily closing prices over the past month. The system utilizes a collaborative architecture involving multiple AI agents—each assigned a specific role in the data analysis pipeline.

A simple AgenticAI agent showcasing autonomous reasoning and decision-making by integrating thought, logic, and action in real-time tasks.

Multi-agent DDPG on ml-agents environment

A multi-agent (LLMs) jury deliberation simulation system.

Implementation of "ReMAV: Reward Modeling of Autonomous Vehicles for Finding Likely Failure Events".

This project demonstrates how to build an intelligent customer support agent using LlamaIndex, Groq’s LLaMA 3.3 70B, and HuggingFace Embeddings. The agent can answer questions about orders, return policies, delivery dates, and customer support information by combining function-calling tools and a vector-based RAG setup.

Modern Wisdom AI RAG Pipeline

Repository to Learn OpenAI's new Responses API

Operationalizes PM insights through working agents grounded in GRC best practices. Provides prompt libraries and tools to identify governance and compliance risks before scaling programs, analytics initiatives, or AI systems.

Plataforma de detección de amenazas cibernéticas

Wide-model collective ensemble system with fractal, geometric, and heavy compilation optimizations.

A chat bot that knows nothing

Knowledge base of python projects, modules, AI concepts and more