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We built this at Tensorlake after struggling with brittle prompt-based extractors. This system lets you parse unstructured docs and extract contextual information quickly with a LangGraph Agent.

I’d love thoughts from others building RAG apps, especially around field accuracy and chunking strategies. What would you improve?