# Browser-run Colab notebooks for systematic RAG optimization (chunking, retrieval, rerankers, prompts)

**URL:** <https://discuss.huggingface.co/t/browser-run-colab-notebooks-for-systematic-rag-optimization-chunking-retrieval-rerankers-prompts/174024>\
**Category:** Show and Tell\
**Created:** [March 5, 2026, 4:42pm UTC](https://discuss.huggingface.co/t/browser-run-colab-notebooks-for-systematic-rag-optimization-chunking-retrieval-rerankers-prompts/174024 "2026-03-05T16:42:55Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![kbigdelysh](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/kbigdelysh/32/54464_2.png) [@kbigdelysh](https://discuss.huggingface.co/u/kbigdelysh)\
**Post date:** [March 5, 2026, 4:42pm UTC](https://discuss.huggingface.co/t/browser-run-colab-notebooks-for-systematic-rag-optimization-chunking-retrieval-rerankers-prompts/174024/1 "2026-03-05T16:42:55Z")

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Hi Hugging Face folks,

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.

Overview page: [https://www.rapidfire.ai/solutions](https://www.rapidfire.ai/solutions)

Use cases:

- Customer Support: [https://www.rapidfire.ai/customer-support](https://www.rapidfire.ai/customer-support)
- Finance: [https://www.rapidfire.ai/solutions-finance](https://www.rapidfire.ai/solutions-finance)
- Retail Chatbot: [https://www.rapidfire.ai/retail-chatbot](https://www.rapidfire.ai/retail-chatbot)
- Healthcare Support: [https://www.rapidfire.ai/healthcare-support](https://www.rapidfire.ai/healthcare-support)
- Cybersecurity: [https://www.rapidfire.ai/cybersecurity](https://www.rapidfire.ai/cybersecurity)
- Content Safety: [https://www.rapidfire.ai/content-safety](https://www.rapidfire.ai/content-safety)
- PII Redaction: [https://www.rapidfire.ai/pii-redaction](https://www.rapidfire.ai/pii-redaction)
- EdTech Support: [https://www.rapidfire.ai/edtech-support](https://www.rapidfire.ai/edtech-support)

GitHub (library + code): [https://github.com/RapidFireAI/rapidfireai](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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**Author:** ![system](https://us1.discourse-cdn.com/hellohellohello/original/2X/d/de4155eb4aa4108ecb32a1389d7cc37ae69f88b7.png) [@system](https://discuss.huggingface.co/u/system)\
**Post date:** [March 5, 2026, 4:42pm UTC](https://discuss.huggingface.co/t/browser-run-colab-notebooks-for-systematic-rag-optimization-chunking-retrieval-rerankers-prompts/174024/2 "2026-03-05T16:42:57Z")

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**Author:** ![system](https://us1.discourse-cdn.com/hellohellohello/original/2X/d/de4155eb4aa4108ecb32a1389d7cc37ae69f88b7.png) [@system](https://discuss.huggingface.co/u/system)\
**Post date:** [March 6, 2026, 12:31am UTC](https://discuss.huggingface.co/t/browser-run-colab-notebooks-for-systematic-rag-optimization-chunking-retrieval-rerankers-prompts/174024/3 "2026-03-06T00:31:03Z")

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