Complete RAG Tutorial 2025: Build AI Apps with Retrieval Augmented Generation
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What you'll learn
This course includes
- 4 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 17 lessons • 4 hours of video
Complete RAG Tutorial 2025: Build AI Apps with Retrieval Augmented Generation
17 lessons
• 4 hours
Complete RAG Tutorial 2025: Build AI Apps with Retrieval Augmented Generation
17 lessons
• 4 hours
- RAG Tutorial 2025 #1: Complete Introduction to Retrieval Augmented Generation 02:45
- RAG Tutorial 2025 #2: Vector Embeddings and RAG Architecture Explained 19:33
- RAG Tutorial 2025 #3: Build Data Ingestion Pipeline with Python 17:38
- RAG Tutorial 2025 #4: Document Retrieval Implementation with LangChain 10:23
- RAG Tutorial 2025 #5: Cosine Similarity for Vector Search Explained 07:30
- RAG Tutorial 2025 #6: Build Your First RAG Application from Scratch 02:10
- RAG Tutorial 2025 #7: Conversational RAG with Chat History 07:41
- RAG Tutorial 2025 #8: Text Chunking Strategies for Better RAG Performance 05:04
- RAG Tutorial 2025 #9: Advanced Text Splitting with LangChain Python 13:32
- RAG Tutorial 2025 #10: Semantic Chunking for Improved RAG Results 12:41
- RAG Tutorial 2025 #11: AI Agent-Based Document Chunking 05:32
- RAG Tutorial 2025 #12: Multi-Modal RAG with Images and Documents 57:11
- RAG Tutorial 2025 #13: Advanced Document Retrieval Techniques 09:20
- RAG Tutorial 2025 #14: Multi-Query RAG for Better Search Results 05:57
- RAG Tutorial 2025 #15: Reciprocal Rank Fusion for Enhanced RAG Performance 12:59
- RAG Tutorial 2025 #16: Hybrid Search combining Vector and Keyword Search 27:43
- RAG Tutorial 2025 #17: RAG Reranking and Next Steps! 28:53
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