🛠 Unstract Unveils Multi-Agent System for PDF Table Extraction
Instead of using a single general-purpose LLM agent, the system divides tasks: from prompt generation to automatic Python script generation (Codegen) for mapping data into a JSON schema. This minimizes hallucinations and reduces token costs.
🌍 The shift toward multi-agent pipelines (Agentic Workflows) addresses AI cost and reliability issues when working with unstructured data.
👤 Using code (Python) makes AI operations more predictable and cheaper than simple prompts.
Source 1: https://unstract.com/blog/multi-agent-pdf-table-extraction/