Jupyter Notebook agents

A Step-by-Step Implementation of RAPTOR based RAG implementation

Data and materials to reproduce Bloomberg's investigation into racial and gender bias in OpenAI's GPT

From RAG to Agents: Building Smart AI Assistants

329 agent skills (Cursor, Claude Code & Codex), 5,380 OpenClaw skills, 201 ML notebooks, 51 research papers, 16 industry reports for PMs, Designers & Developers.

Learning Azure AI with APIM, Semantic Kernel and LangChain.

Code of LVAgent: Long Video Understanding by Multi-Round Dynamical Collaboration of MLLM Agents

UAVBench: An Open Benchmark Dataset for Autonomous and Agentic AI UAV Systems via LLM-Generated Flight Scenarios

This repository will guide you to create ChatGPT like chatbot using OpenAI's GPT 3.5 model

Docker Dev Environments for AI, CV and Robotics Courses at NJIT and NYU

Practical step-by-step LangChain guides

This is an implementation of the paper "Coordinated Multi Agent Imitation Learning", or the Sloan version "Data-Driven Ghosting using Deep Imitation Learning" using Tensorflow

How to stream GPT-4, ChatGPT & GPT-3.5 model responses (gpt-4, gpt-3.5-turbo & text-davinci-003)?

A simplified code generating agent for LLMs

Local RAG agent with LLaMA3

A basic application using langchain, streamlit, and large language models to build a system for Retrieval-Augmented Generation (RAG) based on documents, also includes how to use Groq and deploy your own applications.

MovieGPT: A RAG, Gen AI application for Movie Recommendations

A demonstration of hybrid search with reranking using Qdrant and BGE-M3 model. A showcase of dense and sparse retrieval combined with ColBERT reranking for optimal search results

Code for our paper LLaMAR: LM-based Long-Horizon Planner for Multi-Agent Robotics

My personal learning of LLM Agents

A guide about how to use GPTQ models with langchain

Conversational AI based on Rasa

Important Note fastrl version 2 is being developed at fastrl. Note the link in the readme

LangChain, Llama2-Chat, and zero- and few-shot prompting are used to generate synthetic datasets for IR and RAG system evaluation

A new novel multi-modality (Vision) RAG architecture

Make open-weight LLM agents play the game "Among Us", and study how the models learn and express lying and deception in the game.

A complete LangGraph multi-agent system demo using SQL tools, Tavily search, MCP Toolbox, and OpenRouter models — with reproducible notebooks and a full supervisor-led agent workflow.

A beginner-friendly, notebook-first educational project: building LLM Agent Execution Harnesses from scratch with runtime observability. / 面向零基础的 Notebook 教学向项目：从零构建大模型 Agent Execution Harnesses (执行基础设施)与运行时可观测性。

Examples of RAG using LangChain with local LLMs - Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B

Movie Recommendation Chatbot provides information about a movie like plot, genre, revenue, budget, imdb rating, imdb links, etc. The model was trained with Kaggle’s movies metadata dataset. To give a recommendation of similar movies, Cosine Similarity and TFID vectorizer were used. Slack API was used to provide a Front End for the chatbot. IBM Watson was used to link the Python code for Natural Language Processing with the front end hosted on Slack API. Libraries like nltk, sklearn, pandas and nlp were used to perform Natural Language Processing and cater to user queries and responses.

Multi-turn open-domain Arabic chatbot with a wide set of features.

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

A Reverse Engineering Assistant leveraging Retrieval-Augmented Generation (RAG) and the LLaMA-3.1-8B-Instant Large Language Model (LLM). This tool is designed to revolutionize reverse engineering tasks by combining machine learning with retrieval-based systems.

This is the official implementation of "Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network" (ITSC 2021)

텐서플로우2로 구현한 트랜스포머 챗봇 구현체 (TensorFlow implementation of 'Attention Is All You Need')

Library for modeling, simulation, and verification of interacting autonomous agents

🤖 PowerShell Copilot and helpful assistant for SQL Server databases and dbatools. Mostly, though, a teaching tool.

A Human-in-the-Loop Workflow for Scientific Schema Mining with Large Language Models

45+ production-ready tutorials on data science, MLOps, and AI tools. All code is executable and adaptable for real projects.

Build AI, agents and workflows with RAG, MCP, harnesses, & multi-agent orchestration in a 3-week cohort

Building AI agents and retrieval systems, a masterclass in LLM agents, RAG, and production deployment.

Reference architecture for LLM-based applications on Google Cloud Platform with Redis Enterprise as a high-performance data layer.

With AI Core as a proxy for Azure OpenAI Services, we are able to perform prompt engineering, e.g. to add more context in the form of (SAP) documents or to perform input validation. This repo serves as a starting point for such a raw proxy and shows how SAP BTP, AI Core can be consumed and exposed via a CAP API.

Code for ICLR'24 workshop ME-FoMo-How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary Investigation

OpenAI gym environments for training RL Agents on @OpenBB-finance Data

🔎 A deep-dive into HyDE for Advanced LLM RAG + 💡 Introducing AutoHyDE, a semi-supervised framework to improve the effectiveness, coverage and applicability of HyDE

An end-to-end pipeline to optimize and host LLM for 100K parallel queries

Reference Implementations for the RAG bootcamp

A minimal working example of a Human-in-the-Loop (HITL) agent using LangGraph and FastAPI. This demo shows how to pause a LangGraph agent, wait for user input from a frontend, and resume execution — using embedded mode and a simple React UI.

Revolutionary AI ETL with Medallion Architecture: Zero-touch autonomous & HITL pipelines on Databricks

Multimodal-LLM Based AI Agent for Schematic Generation of Analog Circuit

ClinicalAgent: Clinical Trial Multi-Agent System with Large Language Model-based Reasoning. BCB '24: Proceedings of the 15th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics.

A comprehensive, step-by-step guide and code repository for building autonomous AI agents from scratch with zero framework dependencies.

With AI Core as a proxy for Azure OpenAI Services, we are able to perform prompt engineering, e.g. to add more context in the form of (SAP) documents or to perform input validation. This repo serves as a starting point for such a raw proxy and shows how SAP BTP, AI Core can be consumed and exposed via a CAP API.

It is a seq2seq encoder decoder chatbot using keras and with attention

Chat to your Database GenAI Chatbot

这是为希望学习FAISS向量数据库的同学准备的全面入门指导，帮助你快速建立相关概念，更好地阅读官方文档。

Crash course tutorial for crew ai framework

Evaluating Safety of Autonomous Agents in Mobile Device Control (AAAI 2026 AI Alignment Track)

Agentic LLM CTF to test prompt injection attacks and preventions

Multi-Agent System built with Google ADK and OpenRouter models, coordinating specialist agents to query PostgreSQL (via MCP Toolbox) and Data Commons for HDB resale data and global statistics.

Chatbot based on Rasa Framework

A collection of experimental Retrieval Augmented Generation (RAG) Techniques to elevate your pipelines, all with code and intuitive explanations

Artificial Intelligent ChatBot using Tensorflow and NLP that understand the Context and Intent of Human Language.

Tailored cloud solutions based on use case, cost, and preferences using natural language with Agentic AI to research, design, price, diagram, and report an optimized result.

一个基于 LangGraph 和 LangSmith 构建的多智能体AI系统

The official repository for "CartoAgent: a multimodal large language model-powered multi-agent cartographic framework for map style transfer and evaluation".

🚀 Welcome to AskSage Open Source Repo, a community aimed at providing code 🧑‍💻, documentation📝, and proof-of-concept projects for interacting with the AskSage API. This repository serves as an unofficial resource for paid subscribers seeking practical guidance on utilizing the API. If you have any questions email us [email protected]

Build use cases with VideoDB

WORKBank Database derived from large-scale audit of worker desire and technological capability of AI agents for work.

Exercises for the Agentic RAG live course for O'Reilly.

AI-powered chatbot with GPT-3.5 Turbo model for document analysis, modification, and image insertion. Backend uses Django REST API with MySQL and Firestore, and TensorFlow for unsupervised learning. Frontend is built with React, Vite, and JavaScript, featuring responsive design and two color modes.

ChatGPT Prompt Engineering for Developers.

无需预算，使用你的个人数据克隆自己——赛博飞升！Clone yourself by tuning a LLM using your own data.

This repository will guide you to create your Images via Stable Diffusion using a Smart Virtual Assistant like Google Assistant using Open AI's ChatGPT, Whisper. The entire solution is created using Python & Gradio.

A demo application to support my tutorial on building applications with GPT-3.

Application of Retrieval-Augmented Reasoning on a domain-specific body of knowledge

This repository benchmark Ntropy API against different Large Language Models (OpenAI ChatGPT and LLAMA finetuned models). It also contains an easy to use wrapper to enable using the LLMs to perform transaction enrichment. Llama adapters were open sourced and are available on huggingface hub.

Tutorials and exercises are done in the course 'Building RAG Agents with LLM'

A Python Mixin to help convert any LangChain Chat Model into a Tool Calling LLM

OpenAI MuseNet API Colab Notebook

Enhancing Medical Question-Answering System through Advanced Information Retrieval Strategies

[ICLR 2026] Fast-Slow Toolpath Agent with Subroutine Mining for Efficient Multi-turn Image Editing

Tutor CoPilot: A Human-AI Approach for Scaling Real-Time Expertise

Build AI-powered insurance claims processing with Microsoft Foundry, multi-agent workflows, and MCP

Learn about the fundamentals of LangGraph through building an ambient email agent

A Zed Agent Client Protocol (ACP) Jupyter Kernel

Repository for code examples for the book "Hands-on RAG for production"

Multi-agent reinforcement learning in a macroeconomic environment, with V-learning and bootstrap confidence intervals for government policy parameters.

A collection of AI tutorials from Dr. Ashish Bamania

A collection of Python notebooks with tutorials for the LangChain Library.

Modular full-stack ML project leveraging Groq API, Streamlit, Supabase, JSON, SciPy, SciKit-Learn, Plotly & EmailJS, alongside libraries - NumPy, Pandas, Utils, OS, Base64, Re, Pillow & DateTime.

Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks