文档分析器

The Document Analyzer is a specialized skill designed to transform raw documents into structured, actionable insights. By leveraging advanced LLM-powered parsing, it allows users to perform comprehensive document audits, structural mapping, and content quality assessments. This skill is ideal for researchers, analysts, and project managers who need to synthesize information from large datasets, technical manuals, contracts, or long-form reports efficiently. It acts as a bridge between unstructured text and structured knowledge, enabling better organization and information retrieval within the WeKnora ecosystem.

• Structural Analysis: Automatically identifies and maps document hierarchy, including chapters, sections, and logical flow (e.g., chronological, causal, or thematic structures).

• Critical Information Extraction: Pinpoints core themes, main arguments, key statistical data, and final conclusions, ensuring users get to the essence of the document quickly.

• Document Type Identification: Classifies input files into categories such as technical manuals, legal contracts, research papers, or formal reports, allowing for context-aware processing.

• Content Quality Assessment: Evaluates documents based on key metrics like completeness, logical consistency, and overall readability, helping maintain high standards in the knowledge base.

• Standardized Reporting: Generates structured markdown reports that provide a clear executive summary, hierarchy overview, and organized key data points.

• Users should provide clear, text-accessible documents; while OCR integration is available through WeKnora, accuracy is best with high-quality source files.

• The tool is designed for objective, neutral analysis; it differentiates between factual statements and subjective opinions within the text.

• For best results, ensure the document is logically organized, as the analyzer relies on title levels and structure to create accurate summaries.

• This skill functions as part of a ReAct agent loop, meaning it can be invoked as part of multi-step reasoning tasks alongside web searches or retrieval operations.