Homework 3 for the machine learning class at Tsinghua University (fall term 23/24)

A prototype for visualizing and exploring vector document indexes

A RAG Chatbot designed to introduce and answer questions about me

LLM-RAG based blog posts Generator and Analyzer

LLM RAG over PDFs

A lightweight implementation of Retrieval-Augmented Generation (RAG) for enhancing language models with external knowledge.

A simple QnA bot that lets the user question answer their own documents.

Documents Analysis Chatbot

AI agent for automated content moderation of movies and books, employing Retrieval-Augmented Generation (RAG) and natural language processing Large Language Models to identify, discover, and summarize potentially concerning content for informed decision-making.

The application of Langchain in tuning a question-and-answer model for PDF content

Telegram bot that lets you interact with ChatGPT with additional context and multimodal features.

Repository created for a small project to implement a chat model based on LLMs using langchain

ChatHub: Many LLM chat APIs for a one-stop hub, like ChatGPT/GPT4, Claude, Gemini, etc.

This tool is a web application that utilizes Streamlit and OpenAI language models to enable users to interact with website content through a conversational interface. Users can enter the URL of their desired website, pose their questions, and receive precise and relevant answers.

demo of a basic retrieval-augmented generation (RAG) app

LLM, Webcrawl, RAG, Embedding, Indexes, Query

Code for Embeddings, VectorStore, SemanticSearch, and RAG using Azure OpenAI

RAG model for PDF database

Chitti is a retrieval-augmented-generation (RAG) application which utilizes a Mistral Large Language Model (LLM) for generation and a bge-m3 model developed by BAAI for retrieval. Chitti can help you answer questions about the IoT Summer Program, Projects in the program curriculum, Innovations of AIoT SMART Labs, Certification process and more!