Get Citations and Reasoning for Extracted Data in LlamaExtract

LlamaExtract is a tool designed to simplify the extraction of relevant information from complex data sources using advanced document parsing and large language models (LLMs). It allows users to define extraction fields and provides optional citations and reasoning for each extracted field, enhancing transparency and accountability. Users can create Extraction Agents through LlamaCloud's UI or open-source SDKs, utilizing predefined or custom extraction schemas. The tool supports the extraction of data from documents like SEC filings, offering detailed citations and reasoning for each data point, which helps verify the accuracy of the extracted information. By incorporating these features, LlamaExtract improves the efficiency and reliability of automated document processing, allowing users to build and deploy extraction agents tailored to specific needs.