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Jupyter Notebook agents
2,004 Jupyter Notebook AI agents indexed on MeshKore — the most complete public catalog, ranked by popularity and updated daily.
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Jupyter Notebook agents — page 20 of 21
Hands-on practice with ML algorithms, Agentic AI architectures, and System Design concepts. Implemented primarily in Python and C++
A Python framework for building, deploying, and managing AI-powered assistants tailored for federal data analysis, budget execution, and data science.
A powerful AI agent that generates hilarious memes using open source HuggingFace models.
Training data and notebooks for Wrench — purpose-built agentic models for tool calling
ArthaBodh.ai is an AI-powered chatbot that provides Nepali-language answers to queries about Nepal’s Budget 2082/83. It uses document embeddings, vector search (FAISS), and a fine-tuned LLM to retrieve context from budget documents and generate accurate, context-aware responses for ministry allocations, policy priorities, and social programs.
A virtual agent for plant control room that takes in voice-based queries to analyze process data.
Benchmark tests, experiments and use cases of Moorche
Chatbot specialized in the Department of Computer Engineering, Chulalongkorn University - Final Project in 2110572 Natural Language Processing Systems 2024/2 course
Built real-world LLM apps using LangChain, including an AI Code Tutor, CV Assistant, and smart chatbots powered by RAG and agentic workflows. Hands-on projects showcasing practical use of Generative AI.
Example code for RAG search
This repository showcases a collection of innovative projects by Charan H U, focusing on cutting-edge technologies such as facial emotion recognition, fitness tracking, and multi-model applications. Each project demonstrates practical implementations of advanced AI/ML techniques, making it a valuable resource for developers and researchers.
My implementation for a kaggle competition: https://www.kaggle.com/competitions/WattBot2025
An Advanced Retrieval-Augmented Generation (RAG) system powered by a Knowledge Graph + Neo4j + Cypher-based retrieval + Review loop architecture.
A RAG based chatbot that is able to respond with structured JSON format. The output will be always in a JSON format with expected key, value pairs.
A hands-on collection of practical notebooks for learning and building with LLMs , including prompt engineering, RAG, fine-tuning, and evaluation. Built for aspiring AI engineers using only free and open-source tools.
A curated cookbook of practical ML, LLM, RAG, evaluation, and AI systems notebooks.
Multiagent chatbot 🤖🤖🤖 - Lab with Agno and open source llms
An AI-driven Multimodal multi-agent chatbot for home deployment to manage the user's daily chores and tasks. Used OpenAI and Langchain and MORE
A babyAGI based fake news detector
AI Agent that develops OpenSCAD code and rendering based on initial object description, and iterative feedback improvements.
5-Day Hands-on AI Agents Course using Google ADK & Vertex AI | From first agent to production deployment
The project uses Memory Based- RAG for healthcare queries, searching FAISS vector database for relevant answers. If no results are found, an AI fallback mechanism steps in. The AI Agent employs Selenium headless drivers, automation, web scraping, etc techniques to enhance search efficiency, ensuring accurate, real-time responses.
LanchainLLM
GPT - Ignition: Understanding, Studying & Mastering AI, GPT, LLMs, AGENTS, and MORE!
🎬 RAG Chat with YouTube — A lightweight end-to-end RAG app built with FastAPI + LangChain + Streamlit. Upload a YouTube video URL, extract its transcripts, embed them using Google Gemini embeddings, and chat interactively with the video’s content. Perfect for exploring context-aware LLMs, video summarization, and semantic search
Using the Langchain framework combined with RAG techniques to build a chatbot based on historical data of Vietnam (1945-1975).
Production-ready AI medical chatbot for healthcare. IBM WatsonX, OpenAI, RAG, Llama 3, Mixtral. Medical interviewer, fine-tuning, Gradio. Python 3.9+.
Extract Amazon customer reviews of select products via a third-party educational web scrapper, analyze them with LLM, and display concise summaries using an interactive user interface.
This project focuses on developing a Retrieval-Augmented Generation (RAG) system tailored for Contract Q&A.
Imagine a tireless AI, designed to provide guidance, encouragement and coping mechanisms on mental health issues. That is what the HarmonyHaven Chatbot is!
Reclassifying Spotify tracks Explicity with LLAMA3-70B built using LangChain
Multi-Modal RAG: An AI-powered pipeline for extracting, chunking, and summarizing content from PDF documents using advanced chunking strategies and generative models. Includes support for text, tables, and images, with vector search and retrieval via ChromaDB.
This project was developed as part of the PIDEV – 4th Year Engineering Program Data Science speciality at Esprit School of Engineering (Academic Year 2025–2026)
1st place finish - TUM Hackathon @Microsoft 01.-03.12.2023
ParmaTIS AI Assistant is a modular, memory-aware chatbot system designed to showcase how modern AI architectures can simulate intelligent internal assistants for organizations. It combines LangChain's Retrieval-Augmented Generation (RAG) capabilities with OpenAI's function-calling Agent SDK, wrapped in a clean Gradio-based UI.
Generative Transformer chemical LLM agent as an expert for Quantum Chemistry and Drug Discovery
End-to-End Python implementation of Ang et al's (2026) Agentic 'Self-Driving Portfolio'. Implements: Black-Litterman equilibrium priors, Grinold-Kroner building blocks, Campbell-Shiller CAPE analysis, Ledoit-Wolf covariance shrinkage, Risk Parity, Hierarchical Risk Parity, and Robust Mean-Variance optimization across 18 asset classes.
Unified Prediction Market Oracle – Combines AI analysis, paper trading, and strategy backtesting into one binary. Run all three engines on any Polymarket or Kalshi event for a complete intelligence report.
LLM agents that extract and maintain knowledge graphs from text and live conversations, using OpenAI + instructor + pyvis.
A notebook-driven exploration of next-gen agentic RAG architectures and intelligent retrieval pipelines.
AI-powered system to classify, prioritize, and manage student complaints within educational institutions.
Automate your email workflow with this intelligent agent system. Features include email ingestion, filtering, summarization, action item extraction, and customizable notifications via various channels. Powered by LangChain, LangGraph, and Gemini 1.5 Flash.
This project creates an intelligent product information chatbot that can answer questions about laptops sold by a company. It demonstrates the power of LLMs in creating interactive, context-aware agents that can retrieve and present information naturally.
Multi-agent RL environment for urban bus systems
Local-first pipeline for a daily AI news digest
Welcome to Tech Gallery, a centralized developer repository where I showcase a selection of my projects. Let's connect and innovate together!
Multimodal chatbot project using five LLM-based approaches including RAG, PEFT, and prompt engineering, built on the BioASQ dataset for biomedical QA.
EVOKORE-MCP — a multi-server Model Context Protocol aggregator with skill discovery, HITL approval, RBAC, session continuity, and an opinionated orchestration framework.
A tabular agent designed for question-answering on structured data from PDFs
Sharing demos with beginners who are interested in LLM Agents and LLM MAS.
This repository focuses on Generative AI Projects.
Experiments on System 2 reasoning — neuro-symbolic learning, inference-time scaling, LLM agents, RL post-training in LLMs, and Graph-based retrieval.
chatbot of my curriculum vitae
This repository is a comprehensive collection of projects exploring various aspects of Generative AI, including AI Agents and Retrieval-Augmented Generation (RAG) implementations. Each project demonstrates different applications and capabilities of GenAI technologies.
Dieses Projekt simuliert die Zusammenarbeit von Pflegefachkraft, Arzt und Diätassistentin in einem Pflegeheim. Mit CrewAI wird ein Team erstellt, das die Betreuung eines neuen Bewohners organisiert. Anhand eines fiktiven Bewohners wird gezeigt, wie Pflegeplan, medizinisches Statement und Diätplan für die ersten zwei Wochen erstellt werden.
This CrewAI project helps find grants: agents extract info from user-provided URLs, search for matches, check basic eligibility, and compile a report.
This project uses the CrewAI framework to create a team of AI agents that attempt to analyze the recent news sentiment surrounding a specific publicly traded stock. The crew finds recent news articles, assesses the sentiment of each regarding the company, aggregates the findings, identifies key themes, and compiles a summary brief.
🧩 Simple Agentic AI projects using CrewAI framework — showcasing multi-agent workflows for tasks like content generation and interview preparation.
Code recipes for email & SMS in AI agents — LangChain, CrewAI, OpenAI Agents SDK, Claude, n8n. Inbox, threading, webhooks, phone numbers. commune.email
A 7-part practical notebook series exploring LLMs, RAG, LangChain, CrewAI, LlamaIndex & real-time multi-agent systems.
🏆 1st Place – OpenAI Track (National Security) | SCSP x AGI House Hackathon 2025
An AI-powered assistant platform combining medicine stock prediction, real-time skin diagnosis with product recommendations, and a chatbot assistant for quick access to drug information and extracting prescription information.
零框架从零构建生产级 AI Agent — 四周手写 ReAct / MCP / LangGraph / AutoGen / Multi-Agent 协作
This project demonstrates a conversational AI simulation between a high school student and a math tutor using the AutoGen framework and the Groq API (with LLaMA 3 model). The use case focuses on helping students understand quadratic equations through a multi-turn dialogue.
A collection of Jupyter notebooks, Streamlit apps, and Flask applications demonstrating various use cases and implementations of AutoGen Agents. This repository serves as a practical resource for readers to explore and implement use cases discussed in my blogposts.
Sample code on AutoGen for the Latoken hackathon
SmolLM3-RAG: A High-Performance, Low-Cost RAG System
Streamlit App to Chat Over Custom Data + exploring frameworks
Intent detection agent that will route irrelevant queries to a cheaper model.
What I learn about RAG, i use Langchain and maybe Llama-Index
Q&A chatbot, employing LlamaIndex, ASTRA DB (Apache Cassandra), and Gradient's open-source models like LLama2, Gradio, all designed for seamless interaction with YouTube videos
Welcome to RAGDynamics, a repository dedicated to exploring and understanding the dynamics of Retrieval-Augmented Generation (RAG) models in the year 2024. We mainly focus on new data parsers, upgraded tools and techniques
GPT 3.5 Turbo LLM and MongoDB Atlas Vector Search for fast and performant Retrieval Augmented Generation (RAG) with LlamaIndex
AI powered Blog Writer (Launching Soon)
This project is a Question Answering (QA) system that leverages Google Gemini LLM and document embeddings using llama-index. It enables semantic search and question answering over your own documents, with an interactive Jupyter notebook and a Streamlit app for experimentation.
A Question Answering(Q/A) Chatbot on Insurance Documents. Powered by Retrieval Augmented Generation(RAG), LlamaIndex and LangChain. Inspired from my Upgrad_IIITB PG Course.
Generative AI projects including concepts such as RAG, Fine-tuning, Conversation Retrieval, etc.
Official implementation of "Counterfactual Fairness Filter for Fair-Delay Multi-Robot Navigation" (AAMAS-23)
Implementation that allows experimenting with Multi-Agent Reinforcement Learning in an environment that emulates the Braess Paradox
This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for real-world launches.
An agentic workflow tool that automatically constructs structured knowledge bases from conversational chat histories using Gemini.
Long-form posts on AI, ML, Data Engineering and technology - in collaboration with my team
A framework utilizing Vertex AI and Gemini for deep, agentic video analytics and insights.
Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems by Antonio Gulli
Solutions from the Advent of Haystack 2024 event, exploring Haystack framework fundamentals through advanced RAG pipelines and intelligent agents
Developed a Python program that can automatically generate and optimize SQL queries based on natural language input using the OpenAI API (gpt-3.x) The program takes user queries in plain English, convert them into SQL queries, and suggest optimizations for improving query performance.
AIE7: Certification Challenge
Generative AI (Gen AI) is a branch of artificial intelligence that creates new content such as text, images, audio, or code using models like GPT or Gemini. It powers applications like AI chatbots, image generation tools, and creative assistants across various industries.
Python SDK for IvyCheck
An autonomous LLM-powered agent that reviews GitHub Pull Requests fetches diffs, analyzes code changes, and returns structured feedback with severity ratings and interactive visualizations.
🏥 Clinical Decision Support System for Pulmonary Embolism - An agent-based AI system using LLMs and RAG to assist healthcare professionals with evidence-based PE diagnosis and treatment recommendations.
Provide AI agents with real email and phone identities using production-ready tools compatible with LangChain, CrewAI, and other frameworks.
Build a robust, production-ready RAG system with effective data preparation, anonymization, and LLM integration. Explore best practices and metrics. 🐙📦
This project uses CrewAI to build AI agents that create a personalized learning path based on a user’s goals, knowledge, and learning style. It analyzes input, identifies gaps, finds resources, and presents a structured, goal-oriented plan.
Trilha aberta e gratuita, do zero ao avançado, para construir assistentes educacionais inteligentes: NLP, Machine Learning, Deep Learning, Transformers, LLMs, RAG, agentes e Learning Analytics.
A study of production multi-agent patterns — planning, reflection, RAG, MCP, human-in-the-loop, guardrails, and evals — wired into one Streamlit orchestrator on the Claude Agent SDK.