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Jupyter Notebook agents
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Jupyter Notebook agents — page 18 of 21
Welcome to Build LLM Apps with LangChain, your gateway to creating powerful applications using Large Language Models (LLMs) powered by LangChain technology.
This project utilizes the LangChain and Groq to perform various analyses on loan recovery conversations. The primary functionalities include summarizing conversations, identifying key actions or next steps, and undertaking sentiment analysis of both the recovery agent and the borrower.
Experimental RAG that consumes Cyber Security articles via RSS
Research: LangChain, Titanic SQLite Database, and the API of OpenAI
Python fundamentals for LangChain: focused notebooks covering the essential concepts you need to start building AI applications. Quick and practical.
This project combines youtube-dl, whisper, LangChain and ChatGPT to extract keywords from YouTube videos. It was intented as a tool for Lyon Data Science to better reference its videos.
A chat application with Django that leverages Langchain, Langgraph, Langsmith and Neo4j knowledge graph.
An agentic chatbot to answer questions regarding a hotel's information and database.
My AI projects
RAG using Ro-LLM, Langchain and ChromaDB
Helping businesses make sense of local sustainability regulations.
The project is a LangChain-based demo application integrated with Google's Gemini API, built using the Streamlit framework. It allows users to input a query or search topic through a text box, which is processed by a language model to generate helpful responses.
KT 에이블 스쿨 5기에서 진행한 프로젝트 내용들입니다
A repository for final project of NLP Bootcamp at Indonesia AI
langchain use ollama api and qwen2.5
This project utilizes a multi-agent system powered by crewAI to monitor, analyze, and strategize in the financial markets, specifically focusing on stock trading. Each agent in the system specializes in a unique aspect of trading, working together to provide comprehensive insights and actionable strategies.
ShopSmart.Ai - An intelligent shopping Assistant built with CRewAi
This project demonstrates a multi-agent system built using AutoGen and Groq's LLaMA 3 model, designed to automate the analysis of Apple (AAPL) stock's daily closing prices over the past month. The system utilizes a collaborative architecture involving multiple AI agents—each assigned a specific role in the data analysis pipeline.
A simple AgenticAI agent showcasing autonomous reasoning and decision-making by integrating thought, logic, and action in real-time tasks.
Multi-agent DDPG on ml-agents environment
A multi-agent (LLMs) jury deliberation simulation system.
Implementation of "ReMAV: Reward Modeling of Autonomous Vehicles for Finding Likely Failure Events".
This project demonstrates how to build an intelligent customer support agent using LlamaIndex, Groq’s LLaMA 3.3 70B, and HuggingFace Embeddings. The agent can answer questions about orders, return policies, delivery dates, and customer support information by combining function-calling tools and a vector-based RAG setup.
Modern Wisdom AI RAG Pipeline
Repository to Learn OpenAI's new Responses API
Operationalizes PM insights through working agents grounded in GRC best practices. Provides prompt libraries and tools to identify governance and compliance risks before scaling programs, analytics initiatives, or AI systems.
Plataforma de detección de amenazas cibernéticas
An end-to-end LangGraph pipeline that fetches Facebook ads, downloads and processes video content, transcribes Urdu audio via Whisper, analyzes marketing techniques and visuals with GPT-4o, and produces structured marketing insights.
This repository contains various implementations of AI agents using LangGraph, demonstrating different patterns and use cases for building intelligent, tool-enabled conversational systems. Each project explores different aspects of agentic AI development, from basic chatbots to sophisticated RAG (Retrieval-Augmented Generation) systems.
Wide-model collective ensemble system with fractal, geometric, and heavy compilation optimizations.
A chat bot that knows nothing
Knowledge base of python projects, modules, AI concepts and more
This Repo contains Mary ChatBot a trained Model containing a story, query and answers. Trains the story and query to output the correct answer. It uses the Softmax activation layer for multiclass classification
The idea behind this project is to develop a new generation of mental healthcare tools that are as dynamic as the people they serve. This has been achieved by deploying a bot service that helps ease the initial screening process for people who are seeking mental health related aid. BroBot is designed to be there for you, to have a tiny conversation, to vent out your feelings and to direct you to the right professionals if required.
A simple transformer chatbot that trained with cornell movie-dialogs corpus. And a Streamlit app to make it easy to use.
Python AI Chat Bot for answering questions related to my resume.
Jupyter notebooks for testing Prisma AIRS AI Runtime with your LLM
Conversational Model that recognizes food images and return nutritional facts
CureWise-AI is a modern, production-grade healthcare data platform that leverages Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and advanced AI/ML techniques to deliver intelligent analytics, medical report parsing, and conversational AI for hospitals, doctors, and patients.
OpenAI GPT-3 NLP task completion & Stable Diffusion Text2Image generator, before ChatGPT and DALL-E
How to build a chatbot to parse conditional statements
MedBot is a medical smart chatbot which uses NLG to answer user medical queries. It is made on top of a distilled version of GPT-2 by using the HuggingFace Repository. The bot is trained on medical queries gathered from websites such as WebMD and questionDoctor.
Chatbot built using Flask and the OpenAI GPT-3.5 turbo model. The chatbot allows users to interact with a language model powered by GPT-3.5 turbo and get responses based on their input.
Chatbot app for interactively conversing with PDFs
An AI-driven healthcare assistant that predicts diseases based on user-provided symptoms. This project leverages machine learning for disease prediction, provides descriptions and precautionary measures, and includes a user-friendly GUI with text-to-speech integration.
This is AI ChatBot. I make it By AI(NLP). I know sometime it's show wrong answer because i use less data to train my model because i haven't big dataset. you can read my code and you can learn many thing. This chatbot is not bad at all. You can have fun with it in your spare time if you want.
Question Answering Chatbot with DistilRoBERTa Sentence Embeddings, Dialogflow and Ngrok
Bot/Agent which will act as a guide for self assessment of probable risks from corona virus and increase awareness about the pandemic.
A simple 3-layer NN based model with predefined responses
🚀 Build and understand a Large Language Model from scratch using PyTorch through hands-on notebooks focused on core Transformer concepts.
A cybernetic physicist sent back in time to fuse techniques from quantum field theory and machine learning. April Fools' 2023.
Tagging using LLM
This demo repository demonstrates how to analyze customer reviews with Azure OpenAI Service (AOAI). I leveraged "ASOS Customer Review" from Kaggle to obtain valuable insight from the customer review content.
Demonstration of using GPT4 to answer D&D questions
A benchmark study analyzing cost and token efficiency across 14 LLMs from 5 providers — comparing price-per-token, latency, and accuracy to surface the most cost-effective models for real-world use.
ChatGPT Prompt Engineering for Developers
Building a GPT-3 powered Amazon Support Bot for precise customer query responses via fine-tuned model on Amazon QA data
Hooplytics turns NBA box-score data into player intelligence through machine learning, interactive analytics, and visual workflows for exploring trends, projections, and performance signals.
Slides and resources for HT Media Group NLP Workshop, 2025
RAG framework that combines structured knowledge representation using hypergraphs with efficient response generation via semantic caching.
A RAG Application powered by Llama 3.2b and HuggingFace Embeddings
Multimodal RAG-Based Product Search Chatbot Using Amazon Bedrock and OpenSearch
Replication for SOTA "Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented Generation"
A lightweight, local Retrieval-Augmented Generation (RAG) system for domain-specific Q&A over financial documents. Uses pdfplumber for PDF parsing, sentence-transformers for dense retrieval, and optionally connects to local LLMs (e.g., Ollama + Mistral). Runs on FastAPI with a custom frontend.
Code for the presentation.
A meta-app, built with Streamlit—supercharged with Snowflake AI—to help Streamlit evolve, one issue at a time.
A comprehensive collection of RAG (Retrieval Augmented Generation) implementations 📚✨, from foundational concepts to advanced agentic 🤖 and knowledge graph 🌐 RAGs
Baseline replication for paper “EMERGE: Enhancing Multimodal Electronic Health Records Predictive Modeling with Retrieval-Augmented Generation.”
Hybrid RAG system for translating Ancient Egyptian transliterations using the TLA dataset.
Repo for DermAssist: Your AI Assitant for Skin Problems. Powered by a vision model and a reliable RAG system.
A self-contained Google Colab Notebook that implements RAG using Postgres pgvector, pgai, and LLMs. Supports local-Ollama/OpenAI/Anthropic
A Jupyter Notebook–powered toolkit that uses Retrieval-Augmented Generation (RAG) to help you craft a knockout resume. Feed it your raw career data (LinkedIn exports, old CVs, brag-worthy project notes), and let an AI do the heavy lifting—so you can spend your time practicing interview answers (or napping).
demo in blog how ai help understand omniclass
Retrieval Augmented Generation (RAG)
NLP + RAG technique for requirements engineering.
Using LLMs to generate custom UI elements. Currently using Mistral-7b.
Material y ejercicios del curso IMPACT#IA sobre LlamaIndex y Pydantic: desarrollo de agentes, uso de APIs, automatización y parseo de documentos con modelos estructurados.
IMDb IR System Project - MIR Course - Spring 2024
RAG system for an e-commerce support chatbot.
Practical sessions for the “Data Science for Economics” at the CEMFI Summer School 2025.
Retreival-Augmented Generation with Mixtral 8x7b powered by MILVUS vector database with semantically chunked text embeddings retreived and reranked using BGE-M3.
an approach to optimizing large language model (LLM) responses by extracting, reranking, and refining their internal chain-of-thought (CoT). By focusing on the most coherent and relevant parts of the CoT, we can minimize contradictory reasoning and potentially reduce token usage—ultimately leading to more reliable and efficient outputs.
RAG system using Hugging Face models, multiple vector stores (Chroma, Pinecone, FAISS), and CRAG, with sentence transformers and benchmarking tools for optimized retrieval and content generation.
Multimodal RAG chatbot with voice input for fashion product search 🤖🎙️👟⚡
Repository for final project submission for CS685 Advanced NLP.
Tesi della mia Laurea Triennale in Informatica L-31
Bifocal is an AI-powered platform that analyzes message history to detect emotional abuse and escalating risks in conversations. It flags harmful behaviors from both the victim and offender perspectives using DSM-5-informed NLP and machine learning.
Retrieval Augmented Generation (RAG) using FAISS and Gemma 2b instruction tuned model for answering your questions regarding movies.
Match synthetic patients to clinicaltrials.gov restAPI data with ChatGPT4. Course project for Johns Hopkins University EN.705.651.8VL : Large Language Models: Theory and Practice
In-depth demonstration of C# Semantic Kernel SQLiteVec Hybrid Search Tutorial - Audio Guide
Problem Statement-1: Multilingual NCERT Doubt-Solver using OPEA-based RAG Pipeline. A multilingual doubt-solving system for Grades 5–10 built only on NCERT textbooks, using OCR ingestion, grade-aware retrieval, conversational Q&A with citations, feedback capture, and reliable out-of-scope fallback through a web-friendly chat interface.
This repository contains a chatbot application designed to assist students and visitors of the Faculty of Sciences and Techniques in Tanger (FSTT) website. The chatbot use two approach of NLP: Retrieval-Augmented Generation (RAG) and Fine-Tuning.
Multimodal RAG
An interactive, state-of-the-art Retrieval-Augmented Generation Medical Assistant that leverages deep learning and FAISS-based retrieval to provide accurate, context-aware answers to medical queries in real time.
Multi-disease segmentation chest X-rays by YOLO and DenseNet121, CoAtNet models
Galileo is an AI assistant chatbot for University of Padova (Unipd) to answer student's questions, powered by llama 3 8B and RAG method (NLP's project 2024/25)
This is the Python backend for InsightAI, Architected a microservices-based EdTech platform combining Study Companion, Project Planner, and ShopGenie modules.
Question Answering Generative AI application with Large Language Models (LLMs) and Amazon OpenSearch Service using Haystack
Open-source SOC console. Free-text security incident in, MITRE ATT&CK triage card out. TF-IDF + sentence-transformer classifier, multi-provider LLM dispatch, IOC enrichment, and case management.