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Slides, notebook, RAG dataset and evaluation dataset All resources can also be found in my archive.


Find the transcript here.


For the Springer Nature AI Lab Opening Day I talk about LLM frameworks: what they are, when they can be useful, and how to choose and compare one framework to the other.

After an overview of six application frameworks (LangChain, LlamaIndex, Haystack, txtai, DSPy and CrewAI), we run a notebook where we used RAGAS to compare four small RAG applications and see which one performs better.