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