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Turn complex docs into clean, LLM-ready data! Every AI company I've talked to is solving the same problem: how do you build systems that don't hallucinate and back up every answer with proper citations? Tensorlake is a tool that extracts custom-defined structured data from any unstructured document in 3...

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Akshay 🚀

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58,117 Aufrufe • vor 8 Monaten •via X (Twitter)

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Extracting structured outputs with LLMs is easy. But doing large-scale extraction with precise citations and bounding boxes back to the source documents is way harder. With our latest release in LlamaExtract, we extract citation bounding boxes along with every single key and value within a document. You can see this in the UI. Hover over any k:v pair and you’ll be able to see the corresponding highlights in the source doc. If you’re a human reviewing a million docs (resumes, IDs, invoices, claims, contracts), this will help you 5x your ability to verify values and make sure things are correct. Check out these new extraction upgrades in LlamaCloud:
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Extracting structured outputs with LLMs is easy. But doing large-scale extraction with precise citations and bounding boxes back to the source documents is way harder. With our latest release in LlamaExtract, we extract citation bounding boxes along with every single key and value within a document. You can see this in the UI. Hover over any k:v pair and you’ll be able to see the corresponding highlights in the source doc. If you’re a human reviewing a million docs (resumes, IDs, invoices, claims, contracts), this will help you 5x your ability to verify values and make sure things are correct. Check out these new extraction upgrades in LlamaCloud:

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