I coded a set of practical, browser-run Google Colab examples for people who want to systematically optimize their RAG pipelines, especially how to choose chunking strategies, retrieval parameters, rerankers, and prompts through structured evaluation instead of guesswork. You can run everything in the browser and also copy the notebook code into your own projects.
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GitHub (library + code): https://github.com/RapidFireAI/rapidfireai
If you are iterating on a RAG system, feel free to use the notebooks as a starting point and plug the code into your own pipeline.
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