# Building an AI Study Assistant with Unbody & NextJS
**Date de l'événement :** 05/06/2024
* Publié le 02/06/2024

### Galerie d'image
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## Description
**From PDFs to videos, from semantic search to rerankers—learn how to build an AI-native assistant powered by RAG without even knowing what RAG is, all in 2 hours.**

Join us for a hands-on workshop where you’ll learn how to build a personalized AI study assistant using Unbody. In this session, we will focus on creating a truly intelligent assistant that leverages the power of large language models (LLMs) to provide a human-like interaction experience. This AI assistant will help students with their day-to-day tasks such as managing assignments, conducting research, and summarizing content. Such a product can be used in various domains including education, professional training, and beyond.

By the end of this workshop, you will have built a fully functional AI-native assistant app from the ground up, incorporating a Retrieval-Augmented Generation (RAG) system to provide advanced search and generative capabilities.

### **Problem**:

*   **Manual Tasks**: Students spend a lot of time on manual tasks such as copying/pasting, organizing materials, and extracting content.
*   **Time Consumption**: Reviewing and analyzing study materials is time-consuming even with tools like ChatGPT, which lack specific knowledge of the user's materials.
*   **Limited Integration**: Existing tools do not seamlessly integrate with various data sources and file formats, limiting their effectiveness.

### **Solution**:

*   **AI Study Assistant**: An intelligent assistant that automates transcription, content summarization, and integrates seamlessly with data sources like Google Drive and Google Calendar. It supports various file formats, making it a versatile tool for students and professionals alike.

### **What You Will Learn by the End of the Workshop:**

In this workshop, you will learn how to use Unbody to build an AI-native assistant app with an RAG system without having to know what RAG is. Here is a concise list of the topics we will cover:

1.  **Basic Retrieval-Augmented Generation (RAG)**

*   **Semantic search (Retrieval);** Implement advanced semantic search to find and retrieve relevant content from various data sources, including PDFs, images, audio, video, and Google Docs.
*   **Generative and Prompt-Based Search (Generative and Augmentation);** Utilize generative AI to create meaningful responses based on retrieved content and enhance interactions by using prompt-based techniques.

1.  **Advanced Features**

*   **Advanced filtering;** Learn to apply advanced filtering techniques to refine search results based on metadata, relevance, and user preferences.
*   **Using rerankers to improve search;** Implement reranking algorithms to reorder search results, improving the accuracy and relevance of the retrieved content.

1.  **Integrating various data sources;** Seamlessly integrate and manage data from multiple sources such as Google Drive, Google Calendar, and other file formats, ensuring up-to-date and comprehensive knowledge base.
2.  **Supporting Multimodal Inputs;** Add support for text, image, and audio inputs in your application to enable rich and versatile interactions with the AI assistant.

### **Workshop Details:**

*   **Prerequisites:** Basic knowledge of JavaScript and familiarity with Next.js

**Lien :** [Inscription](https://www.meetup.com/fr-FR/unbody-building-more-human-software/events/301152709/)

### Date
05/06/2024

### Nature de l'évènement
`#Webinaire` `#En ligne` 

### Langue(s)
`#Anglais` 

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