Completed
- Three key insights about function calling and embeddings
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Agentic RAG: Implementing Document Retrieval with SmolAgents - Three Key Lessons
Automatically move to the next video in the Classroom when playback concludes
- 1 - Introduction to using agents for document retrieval
- 2 - Three key insights about function calling and embeddings
- 3 - Explanation of traditional function calling approach
- 4 - Introduction to SmolAgents and code execution
- 5 - Discussion of HuggingFace's safe Python environment
- 6 - Demo of SmolAgents basic implementation
- 7 - Setup instructions for running the code
- 8 - Explanation of document preparation and Markdown conversion
- 9 - Discussion of table of contents generation
- 10 - Introduction to BM25 retrieval tool
- 11 - Implementation details of BM25 search
- 12 - Setup of document section reading tool
- 13 - Explanation of section retrieval implementation
- 14 - Demo of BM25 retriever tool
- 15 - Integration of section reading tool
- 16 - Demonstration of combined tools with Claude model
- 17 - Testing with different language models
- 18 - Summary and conclusion of tutorial
- 19 - Mention of future improvements needed for context management
