Unverified50% confidenceOpinionExact time
LLM-based Agents can extract key fields from unstructured data and convert them into structured tables, accurately extracting even when formats vary.
1
Sources
50%
Confidence
Long-term
Relevance
10/25/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedResults passed between Agents should use clearly defined structured data contracts (such as Pydantic models) rather than relying on natural language text parsing.79% similarUnverifiedDify's Parameter Extractor node receives unstructured or semi-structured text and uses a large model to extract target information according to predefined field names and types, storing the results in variables.72% similarUnverified上下文工程指系统性地设计、筛选和组织输入给大语言模型的信息，使模型在有限的上下文窗口内获得最高质量的参考材料72% similarUnverifiedModern multimodal large language models can directly process image representations of documents, offering greater robustness than traditional rule-based document parsing.71% similarVerifiedAI uniformly converts non-text content such as tables and images in requirements documents into text format to facilitate understanding and processing by large language models.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1097128API
curl https://kongchang.com/api/v1/knowledge/claims/1097128MCP
get_claim(id=1097128)