This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

Get started with building Fullstack Agents using Gemini 2.5 and LangGraph

A collection of pre-trained, state-of-the-art models in the ONNX format

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV…

Repo for Morgan Stanley Machine Learning Research group's publications

Template to quickstart streaming analytics using Apache Kafka for ingestion, QuestDB for time-series storage and analytics, Grafana for near real-time dashboards, and Jupyter Notebook for data science

Open-source MCP for financial ontology

REFRAG - An implementation of the REFRAG paper from Meta Superintelligence Labs

This notebook implements the REFRAG (Retrieval–Fragmentation–Augmentation) architecture from the latest paper.

A simple screen parsing tool towards pure vision based GUI agent

Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting…