Check out the complete starter template and begin building your extraction system: github.com/@jerryjliu0...
Check out the complete starter template and begin building your extraction system: github.com/@jerryjliu0...
📊 Review and correct extractions through an intuitive frontend UI before finalizing results
🚀 Extend the system with additional workflows for downstream data syncing or automated monitoring
📊 Review and correct extractions through an intuitive frontend UI before finalizing results
🚀 Extend the system with additional workflows for downstream data syncing or automated monitoring
@pathwork's Case Underwriter, Knowledge Assistant, and Pre-App Manager products all rely on transforming unstructured insurance documentation into structured data for faster decision-making.
@pathwork's Case Underwriter, Knowledge Assistant, and Pre-App Manager products all rely on transforming unstructured insurance documentation into structured data for faster decision-making.
⚡ Replace fragile, manual pipelines with robust automation that handles everything from digital forms to 1970s faded scans
⚡ Replace fragile, manual pipelines with robust automation that handles everything from digital forms to 1970s faded scans
🌙 Late-night tech conversations when the conference sessions end
🎟️ Limited spots with approval-required registration
🌙 Late-night tech conversations when the conference sessions end
🎟️ Limited spots with approval-required registration
📚 Learn more about our agent workflows: developers.llamaindex.ai/python/llam...
⭐ Star the repo on GitHub: github.com/AstraBert/f...
📚 Learn more about our agent workflows: developers.llamaindex.ai/python/llam...
⭐ Star the repo on GitHub: github.com/AstraBert/f...
👉 Classifies the attachments as invoices or expenses using LlamaClassify
👉 Extracts the information through LlamaExtract
👉 Writes an email reply and sends it back to the user
All of this is packaged as an agent workflow and deployed through our LlamaAgents!🚀
👉 Classifies the attachments as invoices or expenses using LlamaClassify
👉 Extracts the information through LlamaExtract
👉 Writes an email reply and sends it back to the user
All of this is packaged as an agent workflow and deployed through our LlamaAgents!🚀
⚡ When to apply each component in your parsing pipeline and why it matters
⚡ When to apply each component in your parsing pipeline and why it matters
🔧 Practical strategies for handling handwriting, rotated scans, nested tables, and visually dense layouts
🔧 Practical strategies for handling handwriting, rotated scans, nested tables, and visually dense layouts
Need to add a new document type? Add a classification rule and an extraction schema. Need different business logic? Modify the workflow steps. The components stay the same.
Need to add a new document type? Add a classification rule and an extraction schema. Need different business logic? Modify the workflow steps. The components stay the same.