A collection of 90+ tutorial projects on LLMs, RAG and AI agents, ranging from simple OCR apps to production systems with MCP and multi-agent workflows.
Useful for
- Walk through a simple RAG pipeline built with LlamaIndex and Ollama
- Build a local OCR app using Llama 3.2 vision and Streamlit
- Study agentic workflow implementations with CrewAI and AutoGen
Before using
- License: MIT
- Installation and requirements have not been verified; review the README before running
Why now
- Created on GitHub
- 2024-10-21 UTC
- First seen by GitNova
- 2026-11-01 UTC
- Typical day
- +12.5 stars · median of 28 complete days
- Magnitude
- 7.6 / 10 · growing interest
Already 6.9× a typical complete day; a spike in interest, not a quality score
Maximum over those 28 complete days: +1,000 on 2026-10-31; the current measurement has not exceeded it (UTC)
Measured: November 1, 2026, 12:34 UTC
Measurement details
- Created on GitHub: 2024-10-21; first seen by GitNova: 2026-11-01 (UTC)
- +86 stars measured 2026-11-01, 11:01–12:24 UTC
- Usually: +12.5 stars/day — median of 28 complete days 2026-10-04–2026-10-31 (UTC)
- Already 6.9× a typical complete day; a spike in interest, not a quality score
- Maximum over those 28 complete days: +1,000 on 2026-10-31; the current measurement has not exceeded it (UTC)
- Magnitude 7.6/10