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Show HN: LangChain and Tensorlake = Better Document RAG
- drguthals 1y agoWe 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?