Jupyter Notebook agents

Generating embedding for 1000s of PDF Documents, in Qdrant using FastEmbed with distributed Computing in Ray

Multimodal-VideoRAG: Using BridgeTower Embeddings and Large Vision Language Models

A hands-on security lab demonstrating how to poison a Retrieval-Augmented Generation (RAG) system by injecting malicious data into its vector database. Learn RAG architecture, attack surfaces, poisoning techniques, detection methods, and mitigation strategies through a practical, lightweight demo.

A clean and simple implementation of Retrieval Augmented Generation (RAG) to enhanced LLaMA chat model to answer questions from a private knowledge base. We use Tesla user manuals to build the knowledge base, and use open-source embedding and Cross-Encoders reranking models from Sentence Transformers in this project.

Course material for the DSD bootcamp on combining large language models with vector databases.

RAG based QA system based on domain knowledge from local PDFs, useful for reviewing for exams and interviews :)

A Retrieval-Augmented Generation (RAG) chatbot built in Python using embeddings, PostgreSQL with pgvector, and Hugging Face language models. This project allows a chatbot to answer user queries by retrieving relevant information from a corpus of text documents.

Lets you ask question about topics in video and gives summary of the YouTube video.

Secure FedRAG framework for distributed health data search and knowledge exchange

Demo showing how the Trustworthy Language Model add reliability to LLM outputs and improves RAG, agents, and data enrichment worfklows. can be used to improve fine-tuning of LLMs, accuracy of LLM outputs, and smart routing for RAG and agents.

A vanilla from scratch Retrieval Augmented Generation (RAG) implementation that includes a web interface to control it.

🧠 [ACM-TORS] A Resource for Multi-Modal Learning in Visual RAGs

My first Multi-Modal RAG pipeline....Dummy version

The repo underpins a codelab, demonstrating how to use Gemini File Search to enable RAG in your Agentic Application. Use the Gemini File Search to ingest and index documents without having to worry about the details of chunking, embedding or vector database.

A Retrieval-Augmented Generation (RAG) system for automating Security Operations Center (SOC) log analysis. This project combines NLP techniques with vector search to process security logs, enabling semantic querying and visualization through an interactive Streamlit interface.

Python-llama Agents, LLM-Rag-Application, Aenerative-AI, Machine-Learning. Model Training, Implementing various machine learning algorithms such as Logistic Regression, Decision Trees, Random Forests, and Gradient Boosting. Model Evaluation: Assessing model performance

NLP (Natural Language Processing)

A RAG system for Contract Q&A that enables chatting with a contract and asking questions about the contract. It has an interface build with React and FastAPI in backend integrating rag-pipeline with Autogen agents and websockets for communication. Evaluation of the RAG is done using RAGAS.

A Visual and Interactive tool to learn and explore Hybrid RAG (Vector + Graph DBs) and Agentic RAG systems.

My personal notes, code and projects of the Udacity Generative AI Nanodegree.

Investigating the vulnerability of Large Language Models (LLMs) to misinformation in Retrieval-Augmented Generation (RAG) systems by poisoning vector databases and analyzing LLM responses to identify potential weaknesses and exploitation risks.

Practical AI recipes built on Eden AI runnable notebooks, 200+ models, swappable providers

此代码仓库收录了我根据 LangChain Academy《LangChain Essentials》课程整理的练习与笔记，已全面同步至 LangChain v1.1.0 版本。所有 Notebook、脚本与附加资料均可直接运行，适合作为“保姆级”上手手册，每个 Notebook 都围绕构建 LangChain LLM 应用的关键主题展开，从基础 Agent 配置、工具调用到中间件与人类介入流程。

An advanced AI mental health assistant that combines voice interaction, fine-tuned psychology models, and intelligent knowledge retrieval to provide comprehensive psychological support.

A Question Answering(Q/A) Chatbot on Insurance Documents. Powered by Retrieval Augmented Generation(RAG), LlamaIndex and LangGraph. Inspired from my Upgrad_IIITB PG Course.

This repository is my platform to learn, experiment, and innovate with LLMs. Here I try to dive in and discover diverse applications, research experiments, and projects fueled by the power of language models.

This repository presents a project focused on developing a high-precision legal expert LLM application called Contract Advisor RAG. The project's goal is to create a Retrieval Augmented Generation (RAG) system for Contract Q&A, enabling users to interact with contracts by asking questions and receiving accurate, context-rich responses.

Smart AI Based Food RAG is an intelligent food search system that utilizes cutting-edge technologies to provide users with efficient and intuitive text and image search capabilities. The system combines the power of Retrieval Augmented Generation (RAG) techniques, computer vision.

LLM powered Mental Health Support

A multimodal RAG application using Qwen 2.5 VL, ColPali, and QdrantDB for text and image-based retrieval.

The Claude Certified Architect – Foundations certification validates that practitioners can make informed decisions about tradeoffs when implementing real-world solutions with Claude. This exam test foundational knowledge across Claude Code, the Agent SDK, APIs, and MCP — the core technologies used to build production-grade applications with Claude

AmritaGPT is a chatbot designed to answer all Amrita Viswa Vidyapeetham related questions, covering topics such as clubs, placements, entrance exams, and more. The system facilitates text-to-text conversation as well as speech-to-text and text-to-speech functionalities. 🤖📚🎙️

BioEngine is a distributed AI platform that brings the power of cloud computing to bioimage analysis.

🍽️ SFPPy - Python Framework for Food Contact Compliance and Risk Assessment🍏⏩🍎

End-to-end AI hackathon platform enabling users to train ML models, deploy AI agents, and get evaluated via an automated leaderboard and intelligent AI judge system.

Colab notebook and source code used to fine-tune Microsoft's Phi-3-mini to understand, translate, and converse in the Igbo language while retaining general English capabilities. Plus script for safely resuming training after timeouts.

Moroccan Legal RAG System — An Arabic NLP and Retrieval-Augmented Generation platform for Moroccan law.

Multimodal RAG Production

A practical, research-backed handbook for deciding when (and how) to build AI agent teams that actually ship

This workshop covers fundamentals of Building AI Agents on Akamai Cloud

🎢 This collection of data analysis projects demonstrates techniques for extracting, transforming, analyzing, and visualizing data. Data Analytics Projects for Beginners 📈 ⚡

AI Engineering 实战学习仓库

This repository is based on a study that if the critic overcome the generators failures or they inherit them.

🤖 Tajan – An intelligent bilingual (Persian/English) intent recognition chatbot powered by BiLSTM deep learning. Features: offline Persian/English lemmatizer, smart data augmentation (1.8x), GUI interface, and 419 intent classes with ~66% accuracy. Fully customizable, open-source, and runs without internet. Built with TensorFlow, Hazm, and NLTK.

These are the Microsoft Semantic Kernel Workshop notebooks. It addresses AI agents, agents collaboration and, of course, kernel, plugins, planners and function calling

Analyse Financial Market Data of AI companies with Python

Production-ready multimodal RAG pipeline for PDFs. Extracts text, tables, and images down to the atomic element level via unstructured, chunks and AI-enriches them with a vision LLM, stores them in ChromaDB, and answers queries with full multimodal context

Versioned educational project for building an AI agent, with Jupyter notebooks, IT/EN reports and architecture diagrams.

Master self-improving LLM agents systematically with runnable Stanford CS329A notebooks.

RAG CLI for Oracle AI Database, super easy to set up

In an industry where personalization is key to customer satisfaction, your company wants to revolutionize how clients interact with real estate listings. The goal is to create a personalized experience for each buyer, making the property search process more engaging and tailored to individual preferences.

PassiveQA is a novel question-answering framework that teaches language models when to answer, ask for clarification, or refuse to answer - instead of always attempting to generate responses.

An intelligent system combining a sophisticated data pipeline with an AI-powered chatbot. The system features document processing capabilities, multi-modal AI integration, and a scalable architecture.

Bring Your AI Agent Live Resources! AI Agent MCP Skills Deployment Templates LangChain/ChatGPT Apps/Claude SubAgents/Agentscope and more Development

Capstone project for building a GenAI-driven Security Assistant using LangGraph, Gemini, and SerpAPI.

Event-driven multi-agent AI system for a competitive real-time restaurant strategy game with SSE orchestration, structured LLM agents, and full audit logging.

A hands-on guide to building and orchestrating AI agents with LangGraph and CrewAI, from fundamentals to deployment with FastAPI and Streamlit. Learn agent architecture, memory management, and production patterns.

Agentic AI Learning

Exploring the Emergence of Complex Systems through Individual Decisions and Relationships

Master Thesis Project about Agent and Multi-Agent Teaching Systems combined with Personal Memory

This repository hosts a Jupyter notebook that demonstrates the seamless integration of the Bard API with the LangChain library. By leveraging the capabilities of both platforms, we've crafted a custom Language Learning Model (LLM) that allows users to harness the power of Bard within the LangChain ecosystem.

Infinite power but in a pendrive

Enhancing Text Retrieval with Metadata Filters using MongoDB and LangChain Agent

Alpaca, Bloom, DeciLM, Falcon, Vicuna, Llama2, Zephyr, Mistral(MoE), RAG, Reranking, Langchain, Langsmith..

Text Correction Application with LangChain, LangGraph, and LLM

Learn GenAI by integrating OpenAI GPT, Google Gemini, Ollama and HuggingFace models using LangChain, LlamaIndex and Pinecone.

This project is an AI-powered cold email generator designed to craft personalized and professional email templates for outreach. Built with advanced natural language processing (NLP) models, it enables users to input key details and generate tailored emails for various use cases, such as sales, networking, or recruitment.

The MCQ Generator, using Langchain, creates tailored multiple-choice questions from input text. With a Streamlit interface, users upload files and customize MCQ quantity, subject, and complexity. It intelligently generates questions and logs events for tracking.

Agentic RAG with LangGraph 🔥

A conversational agent that answers user questions using transcripts from the Lex Fridman podcast.

A collection of Jupyter notebook experiments and applications centered around Generative AI with LLMs.

Generative-AI-with-Langchain-and-Huggingface explores cutting-edge generative AI concepts. Topics include LangChain basics, ChromaDB, conversational memory, vector databases, document Q&A with RAG, text summarization (refine chains, YT/video summarization), building LLMs, search engines, and advanced tools/agents.

A blog writer that takes a GitHub repo as input and produces a blog article describing how that project has been implemented

A Retrieval-Augmented Generation (RAG) powered medical chatbot that answers clinical questions by intelligently querying domain-specific medical documents.

Airline Reviews Chatbot App : The Airline Reviews Analysis app is a Streamlit application that leverages natural language processing (NLP) techniques, including GPT-3.5-turbo-0125 and Text-embedding-ada-002-v2, to provide answers to user questions based on provided context.

Video Summarization Experiments with Open LLMs

CRM AI analytics for better decision making using a Text-To-SQL agent along with a medallion architecture and data science for statistical modeling

A chatbot that let you talk with your pdf file

This repo is build to facilitate the state-of-the-art RAGs approaches with it's use cases and detailed descriptions.

AI chatbot, using LangChain and the 8-bit quantised Falcon-7B LLM. Crafted a conversational agent with Retrieval Augmented Generation (RAG) pipeline.

Improved RAG Architecture using semantic chunker, query input rewriter, and prompt engineering

This project is a RAG Q&A bot built in a jupyter notebook. It allows users to upload a custom document, which is then processed and stored in a Pinecone vector database using OpenAI embeddings. Users can ask questions about the document's content and receive accurate, context-aware answers generated by an OpenAI language model.

A curated collection of hands-on experiments, code snippets, and templates exploring the latest tools and frameworks in the Generative AI ecosystem

AI-powered Q&A chatbot using Qdrant and Ollama for retrieval-based responses about magnesium-binding protein structures. Integrates Flask for web interface.

Turn your Text into a mind map based on LLMs knowledge graph

This project is using the LangChain library and OpenAI to create an agent that can answer questions about a dataset (in this case, the iris dataset). The agent is created using a CSV agent and an OpenAI language model, which allows the user to interact with the data using natural language queries.

MediChat: An AI-powered medical chatbot using the Llama-2-7B-Chat model for precise clinical responses. Integrates Chroma DB and all-MiniLM-L6-v2 embeddings trained on medical literature, including texts like Clinical Emergency Medicine and Gale Encyclopedia. Accurate, fast, and reliable for healthcare queries.

AI Cookbooks of Various Python Notebooks and code for using AI with various LLM models, UI's and Embeddings

This is my repository for creating chatbots using various Machine learning techniques 🏆. From basic chatbots to Advanced 🔥. Continuously researching about new techniques.

A PM tool utilizing LangChain LLM prompting to analyze project data and return RAG status for project tasks.

Explore the cutting-edge world of advanced retriever and generator (RAG) models through the "Advanced-RAG-Experiments" repository. This collection of Jupyter notebooks and experiments is designed to provide a deep dive into the capabilities and nuances of advanced RAG models in the field of natural language processing.

🧠 Personal POC demonstrating agentic workflows with LangGraph and real-time legal research via Tavily. ⚖️📚 An autonomous assistant that helps users find applicable laws 📜, case precedents 🏛️, and document templates ✍️ based on jurisdiction 🌍, legal topic 📂, and specific requirements ✅.

TLDR the T&C uses an LLM to understand the contents of Terms and Conditions documents and provides a user-friendly chatbot interface for users to ask questions and receive answers.

An interactive CLI-based Smart FAQ system powered by LangChain and FAISS that retrieves accurate answers using semantic search and HuggingFace embeddings.

Centralize your own research material and consult it with the power of AI and LLMs

Built a Retrieval-Augmented Generation (RAG) chatbot using LangChain and OpenAI models.