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Why do LangChain workflows behave differently on repeated runs?

I'm in 9th grade and I built a "Mixture-of-LoRAs" architecture from scratch (Router + Experts + RAG) that runs on a single RTX 3060.

[D] I built a reasoning pipeline that boosts 8B models using structured routing + verification

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[D] Measuring how similar a vector's neighbourhood (of vectors) is

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Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.