Jupyter Notebook agents

ChatGPT-Python is a software that allows you to talk to GPT-3 with a web interface using the openai api

Metaprompt is an AI-powered prompt generator developed by Anthropic. This is the unofficial Metaprompt Community Github repo. All PRs are welcome 🙂

A RAG Application to Ask Questions from a PDF Document using Large Language Models and Vector Database

This repo contains self made projects and learnables from various resources on using local LLMs and RAG

A RAG system is just the beginning of harnessing the power of LLM. The next step is creating an intelligent Agent. In Agentic RAG the Agent makes use of available tools, strategies and LLM to generate response in a specialized way. Unlike a simple RAG, an Agent can dynamically choose between tools, routing strategy, etc.

AI Community Tutorial, including: LoRA/Qlora LLM fine-tuning, Training GPT-2 from scratch, Generative Model Architecture, Content safety and control implementation, Model distillation techniques, Dreambooth techniques, Transfer learning, etc for practice with real project!

Workshop on development of a Local Retrieval Augmented Generation (RAG) system

Test code was written for research and verification of some Python libraries.

This is an agentic AI system designed to help Construction Architects review construction documents and identify inconsistencies between original specifications/drawings and Contractor Submittals.

The notebooks & projects code for Generative for Backend Dev online bootcamp

EduBot is a powerful RAG (Retrieval-Augmented Generation) chatbot that utilizes the latest SOTA models to provide a seamless and interactive learning experience.

This project aims to utilize Generative AI for the next marketing strategy in the case of e-commerce customer segmentation.

为 Python 后端工程师打造的 AI 实战教程：涵盖机器学习、深度学习、大模型应用，17个行业项目，跨平台支持（macOS/Linux/Windows）

This repository contains sample code demonstrating how to implement a verified semantic cache using Amazon Bedrock Knowledge Bases to prevent hallucinations in Large Language Model (LLM) responses while improving latency and reducing costs.

Python SDK for Fewsats

Comprehensive LLMs repo, where I cover both theoretical and practical aspects of LLMs.

LLM, Fine Tuning, Llama 2, Gemma, Mixtral, vLLM, LangChain, RAG, ChromaDB, FAISS

Building a multi-agent RAG system with advanced RAG methods

AI powered legal research engine. The system is based on multi AI agentic RAG systems leveraging the power of Llama3 LLM

This is a simple demonstration to show how to keep an LLM loaded for prolonged time in the memory or unloading the model immediately after inferencing when using it via Ollama.

Text summation using python, deep learning, machine learning, transformer, huggingface, openai and langchain

A self-hosted personal chatbot API with FastAPI. It allows you to interact with the Llama2 LLM (and other open-source LLMs) to have natural language conversations, generate text, and perform various language-related tasks.

This repo contains a code that uses colabxterm and langchain community packages to install Ollama on Google Colab free tier T4 and pulls a model from Ollama and chats with it

a TUI‑first Python package and multi‑agent market research engine that orchestrates validated data collection, analysis, and report synthesis into citation‑rich PDF reports.

'온'은 순 우리말로 '전부의'라는 뜻을 가지고 있습니다. 인격을 가진 인공지능을 개발하기 위한 첫 번째 프로젝트입니다.

A financial chatbot powered by an LLM and retrieval-augmented generation.

A ChatBot that can respond with humans by retrieving information directly from Wikipedia

I came across an episode of silicon valley where “gilfoyle” creates a chatbot to talk to “Dinesh“, after that moment I realized what if I can do the same with my friends, can they differentiate between me and the chatbot, so to answer this question I have to build the bot. Finally, I built one that can talk to my friends and family members on whatsapp, the model is build using sequence to sequence model.

Covid Doctor chatbot using DialoGPT

SymptoCare is an #AI-powered health assistant that provides #symptom-based #risk predictions and mental wellness support using GPT/Gemini. Built with #React, #Flask, s#cikit-learn, and #Firebase, it offers smart insights and doctor booking features.

AI + Formula 1 = 🔥🧑‍💻

The code for LexDrafter framework: a framework that assists in drafting Definitions articles for legislative documents using retrieval augmented generation (RAG) and existing term definitions present in different legislative documents.

AI Assistant to pick your favourite movie - and didactic demo for RAG

PRD: Peer Rank and Discussion Improve Large Language Model based Evaluations

Creating a body of knowledge using Pinecone, Langchain and OpenAI

A collection of examples and resources for operationalizing GenAI and ML workloads on Amazon SageMakerAI with integrated SageMaker-managed MLflow and Amazon Bedrock.

Learn Retrieval-Augmented Generation (RAG) from Scratch using LLMs from Hugging Face and Langchain or Python

An autonomous agentic pipeline that finds, proves, and patches real C memory-safety vulnerabilities end-to-end using a single 7B open-source LLM (Qwen2.5-Coder) on vLLM, with AddressSanitizer as a ground-truth oracle.

Merge Ayurvedic wisdom with AI chatbots for personalized health recommendations

Machine Learning and AI projects for fun

Course Work on Langchain Python Framework for Large Language Models, modified to use a provided dataset.

Example how to construct knowledge graph from document with LLM (Langchain), and use it with CosmosDB/Neo4j

Build a RAG preprocessing pipeline

A basic Text2SQL App, powered by Langchain and OpenAI.

We use policy gradient to help agents learn optimal policies in a competitive multi-agent contextual bandit setting

Very simple example of Seq2Seq model

JanSevak is a AI powered HealthCare Management System. The system allows users to register as patients, book appointments, and predict diseases based on symptoms. Doctors can view and manage appointments. Additionally, the system provides information on various health-related topics through blog posts.

🧠 Workshop Notebook and assets for the Anthropic Hackathon

an Advanced AI application that utilizes LLM and OpenAI for comprehensive resume analysis. It excels at summarizing the resume, evaluating strengths, identifying weaknesses, and offering personalized improvement suggestions

本项目主要是2025届浙江大学软件学院夏令营（AI营）的考核项目

🚀 this project aims to develop an app using an existing open-source LLM with data collected for domain-specific Jenkins knowledge that can be fine-tuned locally and set up with a proper UI for the user to interact with.

This repository contains practical AI projects applying machine learning techniques to real-world problems.

🔒 100% Private RAG Stack with EmbeddingGemma, SQLite-vec & Ollama - Zero Cost, Offline Capable

Chat with Time-Series Data in PostgreSQL using LlamaIndex and Timescale Vector

AI apps development in LangChain & LangGraph - tutorial notebooks

This repository, 300Days_GenerativeAI, is dedicated to 300 days of continuous learning focused on generative AI, studying different books and research papers daily. I'll revisit past learnings, update my understanding, and dive deeper into generative AI's intricacies.

WikiRag is a Retrieval-Augmented Generation (RAG) system designed for question answering, it reduces hallucination thanks to the RAG architecture. It leverages Wikipedia content as a knowledge base.

DomainMind: Enhance Local LLMs with RAG DomainMind integrates Retrieval-Augmented Generation (RAG) with local Large Language Models (LLMs) to answer domain-specific questions using a custom knowledgebase. It ensures privacy by running entirely offline and adapts LLMs to specialized fields like scientific research.

RAG Hallucination Detecting By LRP.

This repository demonstrates the use of CrewAI to enhance sales outreach and lead profiling using a combination of advanced AI agents and tools. The project leverages CrewAI agents and LangChain to identify high-value leads and craft personalized outreach campaigns.

Knowledge graphs and financial news analytics with large language models

Building AI Agents and Workflows with LangGraph

[ICLR'26] InSight-o3: Empowering Multimodal Foundation Models with Generalized Visual Search

Companion Colab notebooks for 'Generative AI for Network Engineers: From API to Production — Volume 1' by Eduard Dulharu

Knowledge-Sharing Hub using RAG Q&A techniques with LLMs (Llama2 and ChatGPT)

Offline Text-to-SQL Agent – Convert natural language questions into SQL queries with explanations. Fully open-source, runs locally, and features a Streamlit UI, multi-table support, and configurable SQLite databases. Built with LangChain, LangGraph, Ollama (CodeGemma 7B).

AI developer that generates LangChain Expression Language code

Learn LangChain for Genearative AI with OpenAI API using Python

Fun project to run your own LLM chat bot using llama.cpp

This Streamlit app, "LangChain ChatBot," invites users to input queries, utilizing the LangChain library and OpenAI's text-davinci-003 model to generate responses with controlled randomness. In just a click, users can explore the intriguing world of conversation through this compact and user-friendly interface.

Applying LLMs, augmented with information retrieval (RAG) and function calling, to a variety of tasks in different domains.

Custom document-based QnA, powered by Azure OpenAI, LangChain and Milvus.

This repo contains code related to development of LLM based projects with Langchain and LLamaIndex. It uses RAG, Function calling, agents and tools as of now for interaction with data.

This project automates the process of monitoring market data, developing trading strategies, executing trades, and assessing risks using a team of specialized AI Agents from crewAI. Each agent is equipped with specific roles and goals, and they collaborate to optimize trading decisions and strategies.

Dependencies Upgrade with multi-agents (CrewAI & Langgraph)

Build a Conversational AI System that can answer questions by retrieving the answers from a document.

Learn the fundamentals of LLMs & Retrieval-Augmented Generation (RAG) through hands-on notebooks, then build your own AI-powered Q&A chat app using Streamlit. Bring your own documents and get started with our video guide!

Question-Answering App Over Your Own Data with LLamaindex and ElasticSearch !

Jupyter notebook samples to quickly get started with OpenAI and LangChain

Taxonomy Completion with Embedding Quantization and an LLM-based Pipeline: A Case Study in Computational Linguistics

🚀 Comprehensive LangGraph learning repository with hands-on examples, and practical implementations. Master stateful multi-agent applications, RAG systems, SQL agents, custom tools, and debugging techniques. From basics to advanced workflows with real-world examples.

Retrieval augmented generation for building datasets from scientific literature: Contains the notebooks used for creating datasets

This project is a Full-stack Meal Planning, Ingredient Recognition and Nutrition Tracking web application powered by Agentic RAG and LLMs for the Final Year Project of Pranav Krishnakumar

🔰 A Comprehensive RAG repository covering basic vanilla RAG techniques, advanced retrieval methods, hybrid search fusion approaches, hands-on reranking techniques with code + explanation 📚✨

End-to-End Python implementation of "FedSight AI" multi-agent system for Federal Funds Target Rate prediction (NeurIPS 2025 Workshop). Simulates FOMC deliberations using LLMs with Chain-of-Draft reasoning and In-Context Learning. Integrates structured macro indicators with unstructured narratives (Beige Book, Dot Plots).

This project demonstrates Agent-to-Agent (A2A) conversations using LangGraph with the A2A protocol. It includes implementations in both **Python** and **TypeSc…

Learn to build AI Agents from scratch using multiple different patterns, add memory, RAG and too calling

Providing useful context by using Retrieval Augmented Generation (RAG) to Gemini

This repository is the official companion for the Azure AI Foundry Agent Service Webinar Series. It provides hands-on code samples, modular use cases, and practical guides for building, deploying, and scaling AI agents on Azure.

An end-to-end AI dirven continuous financial auditing system using multi-agent LLMs for compliance, fraud detection, and risk assessment, leveraging public financial data for real-time, audit-ready insights.

ChatTube: A Retrieval QA System to Youtube Videos

A tutorial on Knowledge Graphs discussing how to model the employee competences within a company

This is a course on how to to program with Large Language Models.

This a Python AI Assistant made by using langgraph and langchain. The assistant is capable of handling programming tasks in python.

🦉 Utilities to improve LLMs capabilities when working with SPARQL endpoints and RDF knowledge graphs, compatible with LangChain

Question Answering Generative AI application with Large Language Models (LLMs), Amazon Bedrock, and Amazon MemoryDB for Redis

Welcome to the LLAMA LangChain Demo repository! This project showcases how to utilize the LangChain framework and Replicate to run a Language Model (LLM). The code in this repository replicates a chat-like interaction using a pre-trained LLM model.

This is a project that uses the LangChain library and OpenAI's ChatGPT API to perform data analysis on a dataset. Disclaimer: This project was made before OpenAI released Code Interpreter on ChatGPT Plus. With similar functions.

A meticulously curated collection of hands-on Jupyter notebooks, designed to illuminate the comprehensive application of MLflow across a spectrum ranging from foundational Machine Learning principles to pioneering Generative AI paradigms.