Description
Build Your Own RAG System with Python, Streamlit & OpenAI is a course on designing and implementing a Retrieval Augmentative Generation (RAG) system using Python, Streamlit, and OpenAI models published by Udemy Online Academy. This course guides you through the complete process of designing and implementing a Retrieval Augmentative Generation (RAG) system using Python, Streamlit, and OpenAI models. The course focuses on transforming large language models into knowledge-aware applications by combining document retrieval with intelligent text generation. Students build an interactive RAG application from scratch and learn how to ingest data, index content, retrieve relevant information, and provide accurate, text-aware responses through a user-friendly web interface.
In this step-by-step, project-based course, you will learn how to use Retrieval Augmentative Generation (RAG) to overcome the limitations of traditional AI models. Instead of relying on model memory, you will connect GPT to your knowledge sources such as PDFs, policies, reports, and business documents. By the end of the course, you will have built and shipped a working RAG system that you can customize, extend, and showcase in your portfolio. Whether your goal is to automate customer support, improve document accessibility, or create new AI-powered products, this project will give you a solid foundation for building real-world AI solutions.
What you will learn in Build Your Own RAG System with Python, Streamlit & OpenAI:
- Understand how human language is transformed into numerical vectors by text embeddings that capture semantic meaning and enable similarity-based search
- Describe the complete RAG pipeline, including five key steps.
- Explain what Retrieval Augmentation Generation (RAG) is and why it is superior to fine-tuning for document-based Q&A applications
- Set up a professional Python development environment with virtual environments to isolate project dependencies
- Create and manage a requirements.txt file to efficiently document and install project dependencies
- Securely manage sensitive credentials such as API keys using environment variables and the Streamlit secret management system
- Read and extract text content from various document formats such as PDF and TXT.
- And …
Course specifications
Publisher: Udemy
Instructors: Bluelime Learning Solutions
Language: English
Level: Introductory
Number of Lessons: 35
Duration: 2 hours and 5 minutes
Course topics
Build Your Own RAG System with Python, Streamlit & OpenAI Prerequisites
Basic computer literacy (file navigation, copy/paste, typing)
A computer running Windows, macOS, or Linux
Internet access for using the OpenAI API and deployment tools
A free OpenAI account to obtain an API key
Basic programming concepts are beneficial but not mandatory
No prior AI or Python experience is necessary.
Pictures
Build Your Own RAG System with Python, Streamlit & OpenAI introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
918 MB
