Udemy – DSPy: Develop a RAG app using DSPy, Weaviate, and FastAPI 2024-9

Published on: 2024-10-21 08:17:05

Categories: 28

Description

DSPy course: Develop a RAG app using DSPy, Weaviate, and FastAPI. In this hands-on course, you’ll learn to build a comprehensive Retrieval Augmented Generation (RAG) application from scratch using advanced technologies such as FastAPI, Weaviate, DSPy, and React. In this course, you will master the process of developing a robust backend with FastAPI, managing uploading and parsing documents with DSPy, and managing vector data storage with Weaviate. You will also create a responsive front-end to provide users with an interactive user interface. At the end of the course, you will have the practical skills to develop and deploy AI-based applications that use retrieval-enhanced generation techniques to more intelligently manage data and generate answers.

What you will learn in DSPy: Develop a RAG app using DSPy, Weaviate, and FastAPI course

Build and deploy a Full-Stack RAG application
Efficient data management with Weaviate
Document parsing and file management
Implement advanced backend features with FastAPI

This course is suitable for people who

Backend developers who want to learn how to build APIs with FastAPI and integrate AI-based features like document parsing and vector search.
Full-stack developers looking to gain hands-on experience combining a React frontend with an AI-powered backend.
Data scientists and AI professionals who want to explore new ways to implement recovery-enhanced manufacturing models for real-world applications.
AI enthusiasts who are curious about vector databases like Weaviate and the emerging field of RAG and are motivated to learn and build AI-based applications from scratch.