SwarmVault
Build knowledge graphs from any content. PDF, Word, video, YouTube → graph database. Semantic search over your knowledge.
SwarmVault is a knowledge graph construction tool that transforms unstructured content into structured, queryable knowledge graphs. Feed it PDFs, Word documents, videos, YouTube URLs, or text, and it extracts entities, relationships, and events to build a graph database. Features include multi-document ingestion, entity resolution, relationship extraction, semantic search, graph visualization, and natural language querying. Perfect for researchers, analysts, teams managing large document collections, and anyone who wants to discover hidden connections in their knowledge. Supports multiple graph backends and export formats.
Key Features
- Multi-format ingestion: PDF, Word (.docx), text files, videos, YouTube URLs, web pages
- Entity extraction: automatically identify people, organizations, locations, dates, concepts, products, and more
- Relationship extraction: discover connections between entities (works-for, located-in, part-of, influences, etc.)
- Event extraction: identify and timeline events mentioned across documents
- Entity resolution: merge duplicate entities across documents using fuzzy matching and context analysis
- Knowledge graph construction: build a structured graph from extracted entities and relationships
- Semantic search: search your knowledge graph by meaning, not just keywords — find related concepts and connections
- Natural language querying: ask questions in plain English, get answers from the graph with evidence
- Graph visualization: interactive graph viewer with node filtering, relationship highlighting, and layout options
- Multi-document analysis: ingest hundreds of documents and discover cross-document connections
- YouTube video processing: transcribe videos and extract knowledge from spoken content
- Video processing: extract audio, transcribe, and build knowledge graphs from video content
- Timeline generation: automatically create chronological timelines from events in your documents
- Summary generation: AI-generated summaries of document collections and graph subgraphs
- Export formats: JSON, CSV, GraphML, Neo4j Cypher, RDF, Markdown reports
- Multiple graph backends: in-memory graph, Neo4j, NetworkX, or custom graph database
- Incremental updates: add new documents without rebuilding the entire graph
- Confidence scoring: every entity and relationship has a confidence score for quality filtering
- Cross-platform: Windows, macOS, Linux
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