Jupyter Notebook agents

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.

chatbot of my curriculum vitae

5-Day Hands-on AI Agents Course using Google ADK & Vertex AI | From first agent to production deployment

Long-form posts on AI, ML, Data Engineering and technology - in collaboration with my team

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

LLM agents that extract and maintain knowledge graphs from text and live conversations, using OpenAI + instructor + pyvis.

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.

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 Practical Tutorial on Agentic AI

Working and explanation of LangChain, an open-source framework that allows users to build applications using LLMs like GPT4 and GPT 3.5 Turbo.

Hybrid Retrieval System combining keyword matching (BM25) with semantic similarity (Vectorstore) for improved retrieval.

A repository for training transformer based models

Learn Graph Engineering for agentic AI: state, routing, feedback loops, parallelism, reliability and observability from first principles.

A deterministic SQL access guard for LLM text-to-SQL agents: enforce each user's real data-access rules on generated queries, keep the agent aware of the full catalog, and answer honestly about what it can't see.

Building an Agentic AutoML system from scratch, step by step, from a simple baseline to an experiment-driven senior ML agent.

Hands-on tutorials for building AI agents with the Strands Framework - from simple chatbots to multi-agent systems.

A Retrieval-Augmented Generation chatbot that impersonates Claude Shannon, the father of Information Theory. It ingests his biographies and papers, retrieves with hybrid BM25 + FAISS, reranks via cross-encoder, and answers in his voice (English/Persian).

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.

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.

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.

LangGraph is a powerful framework built on LangChain that enables the creation of stateful, multi-step, and agentic workflows using directed graphs. It simplifies complex LLM orchestration by allowing conditional branching, memory, and tool integrations in a visual and modular way.

An AI-driven Smart Mobility solution for India, providing EV trip planning, on-route charging stops, and CO2 emission savings calculations.

Runnable Jupyter notebooks for Maida: trace an agent, capture a baseline, and gate a behavioral regression -- with LangChain, LangGraph, OpenAI Agents, and CrewAI. No API keys, no network calls.

Custom RAG Assistant is a Streamlit app to chat with your own documents using FastEmbed, Qdrant, and Groq LLMs. Ingest TXT/PDF/MD/JSON/CSV, query with context-grounded answers, and switch collection, embedding, and model via .env. Includes handling for timeouts, model changes, and dimension mismatch errors.

Corrective RAG with LangGraph: evaluates retrieval quality, routes to web search when needed, refines context, and generates grounded answers.

LLM Engineering

Check detected chart patterns against the rate the market moves that way anyway, so you can see which signals carry any information at all. Lift over a pattern-free baseline with cluster-robust intervals -- never against 50%.

Self-RAG chatbot with LangGraph that retrieves from internal PDFs, verifies grounding (IsSUP), checks usefulness (IsUSE), and iteratively rewrites queries to improve answer quality.

🤖 Build & deploy autonomous AI agents — 6 real projects across 5 leading frameworks: OpenAI Agents SDK · CrewAI · LangGraph · AutoGen · MCP.