Building RAG Apps with Python: From Concept to Production
Master the entire RAG application lifecycle, from foundational concepts to deploying advanced Python-powered solutions. Transform your ideas into robust, interactive, production-ready RAG apps and unlock powerful AI capabilities.
Beginner · about 306 min · by admin@tullycourses.com
What you'll learn
- Lesson 1: RAG Fundamentals and Document Ingestion
- Lesson 2: Mastering Document Chunking Strategies
- Lesson 3: Generating and Storing Text Embeddings
- Lesson 4: Advanced Retrieval from Vector Stores
- Lesson 5: Prompt Construction and LLM Integration
- Lesson 6: Building an Interactive RAG Application
- Lesson 7: Evaluation, Iteration, and Advanced RAG Concepts
Topics: RAG, LLM, Python, Embeddings, Vector Search, NLP, Generative AI, AI Application Development
Take this course free on Tully Courses — learn anything by doing it.