# LlamaIndex

RAG over Excel Sheets is an AI project that combines LlamaIndex and IBM's Docling technology, focusing on implementing retrieval-augmented generation (RAG) for Excel spreadsheets. This project can not only be applied to Excel but can also be extended to PowerPoint presentations and other complex documents. By providing efficient information retrieval and processing capabilities, it greatly enhances the efficiency of data analysis and document management.

voice-chat-pdf is a sample built on the LlamaIndex project using Next.js. It allows users to interact with PDF documents via voice using a simple Retrieval-Augmented Generation (RAG) system. This project requires an OpenAI API key to access the real-time API and generate embedding vectors for document interactions. It demonstrates how advanced machine learning technologies can be applied to enhance the efficiency and convenience of document interaction.

create-llama is the simplest way to start using LlamaIndex! It's a straightforward command-line tool that generates a complete application based on your requirements - just supply your data and you're ready to go! To begin, run: npx create-llama. The app will ask you a series of questions to understand what you want to create. You'll need to provide your OpenAI API key and make some decisions. The generated application includes a data folder where you can place as many files as you like; it will automatically index them during build time and then you can chat with them quickly. You can choose from various frontend and backend options. Once your app is up and running, you can customize it according to your preferences!