RAG From Scratch
Master Retrieval-Augmented Generation from the team behind LangChain.
1h 34m
On-demand video
17
Lessons
Included
Certificate
Mobile & TV
Watch anywhere
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This course includes:
- 1h 34m on-demand video (free)
- 17 lessons
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
What you'll learn
- Understand the full RAG pipeline end to end
- Chunk, embed, and index documents effectively
- Build retrieval and re-ranking that actually works
- Reduce hallucinations in LLM applications
Official study guide
The complete 29-page companion book for RAG From Scratch, covering every module with worked examples, key terms, self-check questions, and a full glossary. Print it or read it offline.
Tools & technologies
Industry-standard tools you'll work with in this course.
LangChainOpenAIPythonPostgreSQLCourse content
4 sections · 17 lessons · 1h 34m- RAG From Scratch: Part 1 (Overview)Preview5m
- RAG From Scratch: Part 2 (Indexing)4m
- RAG From Scratch: Part 3 (Retrieval)5m
- RAG From Scratch: Part 4 (Generation)6m
- RAG from scratch: Part 5 (Query Translation -- Multi Query)6m
- RAG from scratch: Part 6 (Query Translation -- RAG Fusion)5m
- RAG from scratch: Part 7 (Query Translation -- Decomposition)6m
- RAG from scratch: Part 8 (Query Translation -- Step Back)6m
Requirements
- •Python
- •Basic LLM familiarity
About this course
Master Retrieval-Augmented Generation from the team behind LangChain. This curated learning path is organized into 4 modules and 17 lessons, taught by LangChain. MegaCourse upgrades the original 2-section playlist into a complete mega course by adding 2 curated reading & resource lessons, a final knowledge-check quiz, plus structure, learning outcomes, progress tracking, and a shareable certificate of completion.
Who this course is for
- AI engineers
- Developers building LLM apps
Instructor
Trusted creator on MegaCourse
Licensing & attribution
License: YouTube Standard License
Videos are embedded from their original creators and remain free to watch. MegaCourse's paid layer covers our own study guides, graded exams, certificates, and curation.
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