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Advanced4 weeks
RAG Systems
Build retrieval-augmented generation systems for accurate AI
10 chapters
1 free chapters
4.9 rating
Course Curriculum
🆓 Free Chapters
🔒 Full Course (9 chapters)
02
Vector Databases
Storing and searching embeddings
45 min
03
Document Processing
Chunking and indexing
40 min
04
Embedding Models
Choosing the right model
35 min
05
Retrieval Strategies
Finding relevant content
45 min
06
Context Window Management
Optimizing prompts
40 min
07
Hybrid Search
Combining methods
35 min
08
RAG Evaluation
Measuring quality
40 min
09
Advanced RAG Patterns
Multi-hop and agents
50 min
10
Production RAG
Scaling RAG systems
45 min
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What You'll Learn
RAG Fundamentals
Vector Databases
Document Processing
Embedding Models
Retrieval Strategies
Context Window Management
Hybrid Search
RAG Evaluation
+ 2 more chapters
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