Jupyter Notebook agents

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

💵 AI-powered financial advisor that analyzes personal transaction data, generates insights, and provides personalized financial advice.

BS AI FAST NUCES Coursework material from 2022 - 2026. Access Course Outlines, Books, and Slides with ease.

Conflict-aware knowledge-graph RAG: temporal contradiction detection, entropy-based path filtering, and calibrated confidence over a Neo4j graph

RAG demo: question-answering over the OCP 2025 financial report using LangChain, Chroma & bge-m3 embeddings, plus LLM-as-judge faithfulness scoring.

Hands-on AI learning notebooks: Tiktoken tokenization, Groq/Ollama LLM inference, and Hugging Face FLUX image generation.

Building a Legal Case Search Engine Using Qdrant, Llama 3, LangChain and Exploring Different Filtering Techniques

A Web Chat bot to determine the prakriti of an individual.

LLM Agents: Landing Page Generation for an E-commerce Platform Using CrewAI, Groq-LangChain and Qdrant

This code example shows how to make a chatbot for semantic search over documents using Streamlit, LangChain, and various vector databases. The chatbot lets users ask questions and get answers from a document collection. The code is in Python and can be customized for different scenarios and data.

Explore new advancements like ChatGPT’s function calling capability, and build a conversational agent using a new syntax called LangChain Expression Language (LCEL) for tasks like tagging, extraction, tool selection, and routing.

基于 2025.4 最新的 LangChain 版本进行编写，包含官方文档的解读、底层原理解析、面向应用的交互化代码以及个人心得体会

Intelligent AI Chatbot For Autism Spectrum Disorder.

Chatbot with personality using DialogGPT from huggingface (Rick bot).

It is a chatbot for question and answering using RAG based on LLM

本项目是一个完整的RAG系统教程，涵盖了从基础概念到高级技术的全面内容。通过Jupyter Notebook的形式，逐步讲解如何构建和优化一个高效的检索增强生成系统。本项目使用的所有模型都是本地化部署的，在3090上可以运行。

Miscellaneous codes and writings for MLOps

Intuitive RAG system on top of LllamaIndex

Fully automated README.md generator powered by multi-agent CREW AI 🤖 and Llama3-70B 🧠—analyzing project structure 📂 and creating custom README styles ✨!

In this course you'll learn to use Gradio to create user-friendly apps with minimal code: Summarize text using a large language model, generate image captions, and chat with an open source LLM. Gain practical knowledge to build interactive demos faster.

Fine-tuning a quantized Llama 2 chat model on Q&A pairs from counselchat.com to provide empathetic and appropriate mental health advice

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

Hands-on PyTorch neural-network labs: CNNs, RNNs, LSTMs, autoencoders, transfer learning, generative AI, and RAG.

An open-source integration of GraphRAG for Agentic System with NoCode

Practical Jupyter notebooks from Andrew Ng and Harrison Chase's "LangChain for LLM Application Development" course on DeepLearning.AI.

LLM application: fine tuned model to generate social media posts from technical blogposts. I used the documentation in https://numpy.org/numpy-tutorials/index.html to build a synthetic dataset and used that dataset to fine-tune an open source model.

using mulimodal RAG to query texts, images and tables from pdf for QA

PTIT's Major Project: Website Programming - This repo contains a chatbot for a clothing store. The chatbot acts as an employee with specific knowledge about clothing consultation, website support, and store information.

A domain-adaptable AI chatbot powered by RAG, FAISS, and LangChain to answer questions from your custom PDFs using HuggingFace LLMs.

This project builds a custom question answering chatbot using Langchain and Google Gemini Language Model (LLM). It fine-tunes industrial data for accurate responses and integrates Streamlit for user interaction, aiming to enhance user experience.

YouTube-Based Multimodal Recipe Recommender

Securing Agentic AI Developer Day shows developers how to take an agentic AI reference workflow to production securely.

Simulation of job offers and CVs with real-time processing, classification, and analytics using Kafka, Ray, Spark, and Databricks. Includes a Flask-based recommendation system and Tableau visualizations.

Simple bots or Simbots is a library designed to create simple bots using the power of python. This library utilises Intent, Entity, Relation and Context model to create bots .

Filter dialog data with a simple entropy-based method (see ACL paper)

An AI chatbot built using SEQ2SEQ Model

A Practical Guide to Developing a Reliable FAQ Chatbot with Reinforcement Learning and Human Feedback using GPT-2 on AWS

🚀 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.

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 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.

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

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.

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

Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval

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

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

GenAI - Building AI Workflows | Agentic Appls | Working with LLMs | HuggingFace | OpenAI | Gemini

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.

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

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).

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

Creating a body of knowledge using Pinecone, Langchain and OpenAI

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.

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

Knowledge graphs and financial news analytics with large language models

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

Production-ready tutorial for building Retrieval-Augmented Generation (RAG) systems with LangChain.

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

🚀 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.

🔒 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

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.