Completed
- Prompt embedding
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Classroom Contents
RAG from the Ground Up with Python and Ollama - Building a Document Interaction System
Automatically move to the next video in the Classroom when playback concludes
- 1 - Intro
- 2 - Environment Setup
- 3 - Function review
- 4 - Source Document
- 5 - Starting the project
- 6 - parse_file
- 7 - Understanding embeddings
- 8 - Implementing embeddings
- 9 - Timing embedding
- 10 - Caching embeddings
- 11 - Prompt embedding
- 12 - Cosine similarity for embedding comparison
- 13 - Brainstorming improvements
- 14 - Giving context to our LLM
- 15 - CLI input
- 16 - Next steps
