ROOT Personal Knowledge Graph

Example Use Cases

• 1

  Query and synthesize information from multi-source personal knowledge bases in real-time.

• 2

  Perform semantic search combined with entity graph traversal for complex multi-hop questions.

• 3

  Integrate and analyze notes, meetings, emails, and Slack messages into a unified knowledge graph.

Description

ROOT builds a unified knowledge graph from scattered notes, meetings, emails, and Slack messages by extracting entities and relations using LLMs. It supports semantic search, entity graph traversal, and GraphRAG for multi-hop question answering, enabling users to query their knowledge base in real-time. The system is self-hosted, uses a single SQLite file for storage, and supports multiple LLM backends for entity extraction and synthesis.