Transforms scattered notes and documents into a searchable personal knowledge graph through entity extraction, GraphRAG, and Multi-source Intelligence Platform (MCP) integration.
Sponsored
Root is a personal knowledge graph solution designed to unify your fragmented knowledge, whether it's from Obsidian vaults, meeting transcripts, emails, or Slack messages. It indexes your diverse content, extracts entities and relations using LLMs, and builds a comprehensive graph. This allows AI tools to query your aggregated knowledge in real-time using GraphRAG, providing cited, natural language answers to complex, multi-hop questions and enabling deep insights that transcend simple keyword or vector searches.
Key Features
01GraphRAG for enhanced Q&A and multi-hop queries
02Single-file SQLite database for unified knowledge storage
03Local Semantic Search using CPU-friendly embeddings
041 GitHub stars
05LLM-powered Entity and Relation Extraction from diverse content
06Multi-source data ingestion (Obsidian, meetings, email, Slack)
Use Cases
01For Researchers & Writers: Discover recurring themes, identify knowledge gaps, and connect disparate ideas across notes.
02For Product Managers: Trace decision evolution and identify key stakeholders for projects.
03For Engineers: Understand system architecture, service dependencies, and identify stale topics.