Jupyter Notebook agents

A set of jupyter notebooks

Fine-tuning black-box OpenAI embedding models

SDLC Copilot is an Agentic AI system designed to streamline and automate the Software Development Lifecycle (SDLC). From requirement gathering to deployment and maintenance, SDLC Copilot leverages AI to optimize development workflows, reduce manual effort, and ensure software quality.

Multimodal RAG ingests PDFs and generates combined text and image outputs by retrieving and grounding relevant information from the documents.

The AI-Powered Healthcare Intelligence Network is an AI-driven system offering disease prediction, drug recommendations, heart disease risk assessment, and an AI medical chatbot. Using ML, NLP, and LLMs, it provides accurate diagnoses, insights, and recommendations, enhancing healthcare accessibility, efficiency, and decision-making .

Hands-on labs for Microsoft Foundry - Azure's unified PaaS for enterprise AI. Notebooks + Bicep covering provisioning, agents (incl. hosted Copilot SDK + REST), MCP, Foundry IQ knowledge bases, guardrails, red-teaming, and fine-tuning.

Retrieval-Augmented Generation over PDFs with Google Gemini: chunking, embeddings and grounded question answering in one runnable notebook. 49,000+ views.

Let's RAG it RAW without fancy frameworks

An innovative application designed to help pharmacists and pharmacy students quickly research FDA-approved drugs by retrieving relevant information from drug labels and adverse event datasets, and providing AI-generated summaries to streamline the learning process

This is a self-learning chatbot coded in python. The chatbot would answer questions from the article URL. The algorithm would parse the article and answer the questions.

it provides Pepper Robot conversation abilities to handle a free open-domain dialogue.

Generative AI playground using Ollama, OpenAI API and JavaScript. Try AI models in your browser!

META LLAMA3 GENAI Real World UseCases End To End Implementation Guide

A tool that converts scientific PDFs into plain text for your LLM-related needs, such as building RAGs or agents for academic knowledge. It was developed in collaboration with the LlamaIndex team.

Workshop for building intelligent AI solutions using Azure AI Foundry, featuring Vector Search, RAG, Agentic AI, and multi-agent orchestration with LangChain and Azure AI Search.

A little tool that lets you ask questions from your pdfs, epubs, text files and word documents.

This project uses a Large Language Model (LLM) with Retrieval-Augmented Generation (RAG) to convert natural language descriptions into executable FreeCAD Python scripts for 3D modeling.

Python framework for 3D agentic AI avatars (MetaHuman/UE). Features real-time lip-sync (Audio2Face), custom text-based emotion driving expressions, and multiple LangChain agent examples (Cafe, PA, Nurse). Along with sample HTML,CSS,JS website.

a step by step pipeline of RAG with Ollama, Langchain, FAISS, investigating whether Lord Elrond is secretly Agent Smith

A beginner-friendly, project-driven tutorial on generative AI and LangChain agents. You'll learn core concepts like prompt engineering, vector embedding, chain orchestration, and building retrieval-augmented chat agents—all via clear, hands-on examples.

A comprehensive hands-on, AI-first Python curriculum with 80+ interactive Jupyter notebooks for AI Engineers from core basics to LLMs, RAG, Agents, and production AI systems.

Build production-ready AI agents with the Strands Agents SDK and AWS services. This repository demonstrates how you can create multi-modal systems with persistent memory in minimal code. Progress from your first agent to production-ready systems through hands-on chapters.

Learn how to use LangChain to build AI bots that can reason, use your data, and search the internet.

Experiments with Langchain using different approaches on Google colab

Building Private Healthcare AI Assistant for Clinics Using Qdrant Hybrid Cloud, DSPy and Groq - Llama3

In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications.

Unlock AI power with AudioInsightsGenerator! From audio to summaries, emotion analysis, idea generation, narratives, and content filtering. Explore your audio's hidden dimensions!

Development of parametric, deep learning, and reinforcement learning agent-based model of car-following behaviour. The models aim to be data-driven, and take into account the heterogeneity of drivers' behaviour and vehicle types. Potential future applications include investigation of a mixed traffic of human-driven vehicles and autonomous vehicles.

Value-Decomposition Networks For Cooperative Multi-Agent Learning

AI4Chem is a code to test the ability of large language models (ChatGPT) to comprehend Chemistry.

A straightforward method to reduce your LLM inference API costs and token usage.

Code for the paper "Searching Privacy Risks in Multi-Agent Systems via Simulation"

AI powered career path recommendation system

Agent-OM: Leveraging LLM Agents for Ontology Matching

An AI Agent that is able to control your screen to complste any task

繁中 AI / LLM 學習路徑 + 面試準備教材 + 2024-2025 研究前沿。

Open-source multi-agent AI platform for Formula 1 race replay, strategy simulation, and explainable race strategy recommendations. (work in progress, MVP in legacy branch)

Demos of ChatGPT's function calling/structured data support.

This repository will contain projects on multi-agent applications using frameworks such as crewai, langchain, gradio, hugging face etc.

Technical companion to the O'Reilly Harness Engineering for AI Agents workshop

Retrieval Augmented Generation and Semantic-search Tools

Agentic framework combining the power of LLMs with domain-specific tools for materials science, enabling property extraction, simulations, and crystal structure generation to accelerate innovative material design and analysis.

[KDD 2026] An automatic, extensible Framework to Evaluate User-Proxy Agents for Human-Likeness. 🌟 Star if you like it!

Neo4j Agent Framework and Platform Integrations

This is all in one chatbot. When you start conversation it sees your face and identifies if it has previously talked to you(Not supported in latest versions). It also checks for your emotion in between conversation. This emotion data is then used to help you whenever it detects you are sad or angry. It can search anything you ask on the internet.

A GPT-2-class language model trained from scratch on OpenWebText with the intent to augment AI Transformer-model education and reverse engineer GPT models from scratch.

👨🏽‍⚖️ LegalEngine - qqmbr team - Junction2017

Wrapper around llama-cpp-python for chat completion with LLaMA v2 models.

Contains interesting projects like Cat face detection, cat face recognition, code generation, Building chatbot, finding similar documents, image segmentation, UCI credit card, anomaly detection, MNIST etc.

Chatbot based Seq2Seq model with bidirectional rnn and attention mechanism with tensorflow, trained on Cornell Movie-Dialogs Corpus and deployed on a Flask Server

Data pipelines and notebooks for RAG tuning using Fondant

AI foundation and trend seminar tutorial with code

Multi agent system to coordinate multiple UAVs

This is a One Shot Course on Strands Agents with Notebooks, Scripts, resources and Projects to take you from Zero To Hero in Strands Agents SDK usage in your Agentic AI Journey

Practical Jupyter notebooks from Andrew Ng and Giskard team's "Red Teaming LLM Applications" course on DeepLearning.AI.

Translate Markdown files from one language to another using OpenAI's API while retaining original formatting. This Jupyter notebook tokenizes input text, splits into chunks, translates with OpenAI, and reconstructs output to preserve Markdown structure. Useful for localizing documentation, articles, books, and other long-form Markdown content.

Datasets, case studies and benchmarks for extracting structured information from PDFs, HTML files or images, created by the Parsee.ai team. Datasets also on Hugging Face: https://huggingface.co/parsee-ai

LLMOps framework using LangChain, Pinecone and Kubeflow

Exploring the Basics of Langchain

An overview of popular reranking models and architectures for 2 stage RAG pipelines

HackAI Morocco is a 4-day AI hackathon that brings together students from across Morocco for an unforgettable experience filled with innovation, challenges, and learning. This unique event combines technical excellence with creative problem-solving in the field of artificial intelligence.

Contextual Engineering Pipeline

Autonomous agent for Kubernetes incident detection, diagnosis, and mitigation using LLMs and modular workflows. Integrates LangChain, LangGraph, and MCP servers to enable automated SRE tasks in cloud-native environments.

Practical evaluation techniques, benchmarks, and examples for production AI agents: RAG, tool use, planning, memory, safety, reliability, and cost.

Welcome to the RAG University repository! This repository contains code implementations for Retrieval-Augmented Generation (RAG) models, specifically designed for Language Model (LM) tasks. RAG models combine the strengths of both retrieval and generation approaches, enhancing the capabilities of LLMs.

GenAI Playground

The LangChain Crash Course Repository is a concise and comprehensive collection of learning materials for the LangChain programming language.

Build your faq virtual agent in 5 minutes

Model uses Whisper, CHATGPT, GTTS

Create your own ChatGPT with Python

Building a GPT-4 Q&A app using Azure OpenAI, Pinecone and Streamlit in just a couple of hours

LEMMA: An effective and explainable way to detect multimodal misinformation with LVLM and external knowledge augmentation, incorporating the intuition and reasoning capbility inside LVLM.

How to build an advanced RAG router based assistant with Amazon Bedrock using LLMs, Embeddings model, and Knowledge Bases for Amazon Bedrock.

Baymax is a multilingual medical ecosystem capable of diagnosing diseases remotely. It aims to improve healthcare accessibility in rural and remote parts of India. The chatbot uses AI/ML technologies for efficient disease diagnosis and patient support.

An extensible multi-agent Research Assistant that uses Gemini-powered subagents (Researcher, Analyst, Formatter) with ArXiv and custom tools to search, analyze, format, and persist academic findings, and can run locally (Flask) or be deployed to Vertex AI.

A bunch of LLaMa model investigations, including recreating generative agents (from the paper Generative Agents: Interactive Simulacra of Human Behavior)

Using langchain, deeplake and openai to create a Q&A on the Mojo lang programming manual

A neural network-based AI chatbot has been designed that uses LSTM as its training model for both encoding and decoding. The chatbot works like an open domain chatbot that can answer day-to-day questions involved in human conversations. Words embeddings are the most important part of designing a neural network-based chatbot. Glove Word Embedding and Skip-Gram models have been used for this task.

Gemma2(9B), Llama3-8B-Finetune-and-RAG, code base for sample, implemented in Kaggle platform

A collection of Python agent samples built with the Google Agent Development Kit (ADK), demonstrating integrations with services like BigQuery and Vertex AI Search.

This repository has been created to keep track of my 5 days progress.

QnA bot on a CSV

RAG-QA is a free, containerised question-answer framework that allows you to ask questions to your documents in an intuitive way

Python-based command line tool to manage workspaces and test conversations for IBM Watson Assistant on IBM Cloud

A Dockerized Streamlit app leveraging a RAG LLM with FAISS to offer answers from uploaded markdown files, deployed on GCP Cloud.

Reinforcement Learning + Open AI Gym/Gymnasium in Google's Colab.

Colab notebook for openai/glide-text2im.

Exploring SOTA Advanced RAG techniques: This project implements a self reflective RAG, seamlessly integrating multiple knowledge sources (website, SQL, PDFs) while meticulously aligning with business requirements.

Discover advanced AI techniques in my repository combining Multi-Hop Chain of Thought (CoT) and Retrieval-Augmented Generation (RAG) using DSPy and Indexify. Enhance complex problem-solving with multi-step reasoning and external knowledge integration. Perfect for AI enthusiasts and researchers.

Starter kit to deploy LLM agents with memory and RAG using LangChain, OpenAI, and Google Cloud (Cloud Run, BigQuery).

Build Fullstack GenAI apps and AI Agents

A complete A–Z guide to Natural Language Processing (NLP) using Python — includes real-world projects, machine learning models, and chatbot implementations. Ideal for students, researchers, and data science enthusiasts.

A collection of example projects demonstrating the capabilities of Fenic

This repository is a comprehensive, hands on roadmap to Python Mastery and AI Engineering. It is designed to take a learner from the very foundations of programming to building professional grade AI agents and scalable systems...

Starter kit to deploy LLM agents with memory and RAG using LangChain, OpenAI, and Google Cloud (Cloud Run, BigQuery).

Notebooks showing off LangChain.js v0.1.0 features.

Free AI Youtube Summarizer on your computer using mistral-instruct-v0.2, langchain and llama_index

An LLM enabled XML generator for Indian laws in the LegalDocML and LegalRuleML formats

Exploring and demonstrating OpenAI's Swarm framework