- “vector-store”
- “rag”
- “knowledge-graph”
- “neo4j”
- “graph-rag”
- “semantic-search”
- “retrieval-augmented-generation”
- “ocr”
- “nanonets”
- “document-parsing”
- “coding-assistants”
- “memory” aliases:
- “vector database” group: applied-ai-workflows
Knowledge Graph
A knowledge graph is a structured representation of entities (nodes) and their relationships (edges), enabling semantic querying and complex relationship-based reasoning. It serves as a foundational component for advanced semantic search and RAG systems.
Core Functionality
- Models knowledge as interconnected entities (e.g.,
Person,Company,Location) with typed [[concepts/relati
#|# Interoperability and Standards
- Open Knowledge Format (OKF): Google’s proposed standard for personal knowledge bases, evolving from Andrej Karpathy’s “LLM Wiki” concept to enable AI interoperability. See Google’s OKF: Standardizing Karpathy’s LLM Wiki for AI Interoperability.
- LLM Wiki: A precursor concept for structuring personal knowledge for AI agents]]]]]], now being standardized via OKF.