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Generate Knowledge Graphs Automatically Using iWeaver

Transform unstructured data into interactive knowledge graphs instantly using iWeaver's AI-powered Knowledge Graph Generator. Extract entities, relationships, and insights from documents, videos, and web content.

How to Create Knowledge Graphs with iWeaver AI?

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Upload Your Data
Import PDFs, webpages, videos or text documents to iWeaver's Knowledge Graph Generator - single files or batch uploads supported.
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AI-Powered Graph Construction
iWeaver automatically extracts SPO triples, standardizes entities, and infers relationships using advanced LLM technology.
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Visualize & Explore Insights
Interact with dynamic knowledge graphs featuring force-directed layouts, entity clustering, and relationship pathfinding.

Why Choose iWeaver's Knowledge Graph Generator?

Multi-Source Data Integration
Process diverse content types including research papers, financial reports, legal documents, and multimedia files. Our system handles text extraction from PDFs, video transcripts, and webpage content seamlessly.
Smart Entity Recognition
Advanced NLP identifies and standardizes entities across documents with industry-leading accuracy. Automatic entity linking connects related concepts while maintaining context.
Dynamic Visualization Options
Explore knowledge graphs through multiple layouts (hierarchical/radial/force-directed) with zoom, filter, and search capabilities. Export graphs as SVG, XMind, or Neo4j-compatible formats.
GraphRAG-Enhanced Analysis
Augment your knowledge graphs with iWeaver's retrieval-augmented generation technology. Ask complex questions and get answers backed by your visualized knowledge network.
Domain-Specific Optimization
Specialized processing for financial research, academic papers, and legal documents. Automatic pattern detection identifies key relationships in your specific field.

Use Cases for Knowledge Graph Generator

Financial Analysts

Map complex market relationships by transforming earnings reports, SEC filings, and news articles into interactive knowledge graphs. Track entity connections across time for deeper investment insights.

Analyzing market relationships

Academic Researchers

Convert literature reviews and experimental data into structured knowledge networks. Visualize citation patterns, methodology connections, and conceptual frameworks effortlessly.

Mapping research concepts

Legal Professionals

Build case knowledge graphs from legal documents, precedents, and deposition transcripts. Quickly identify relevant case law connections and evidentiary patterns.

Connecting legal precedents

Healthcare Researchers

Transform medical literature and clinical trial data into comprehensive knowledge networks. Discover hidden treatment relationships and pharmacological interactions.

Analyzing medical research

FAQs About iWeaver's Knowledge Graph Generator

What types of relationships can the system detect?

Our AI identifies over 50 relationship types including causal, temporal, comparative, and hierarchical connections. Custom relationship patterns can be defined for specialized domains.

Yes. All knowledge graphs are fully editable - add/remove nodes, modify relationships, or adjust layouts. Changes sync across your iWeaver knowledge base automatically.

Advanced contextual analysis resolves entity mentions using semantic similarity scoring and domain-specific disambiguation rules, achieving 92% accuracy in our benchmarks.

Choose from multiple interactive layouts including force-directed, circular, and timeline views. All visualizations support zoom, pan, and entity highlighting features.

Yes. Connect your graphs with Wikidata, DBpedia, or proprietary knowledge bases through our API. Automatic alignment identifies equivalent entities across sources.

All processing occurs locally with optional cloud synchronization. Enterprise-grade encryption protects your knowledge graphs at rest and in transit.

We support PDF, DOCX, PPTX, HTML, MP3, MP4, and plain text. Automatic text extraction handles scanned documents through integrated OCR technology.

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