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Graph RAG

Graph RAG combines knowledge graphs with retrieval augmented generation for complex queries.

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Quick Start

import { createGraphRAG, GraphStore } from 'praisonai';

const graphRag = createGraphRAG({
  llm: 'openai/gpt-4o-mini',
  graphStore: new GraphStore()
});

// Add documents
await graphRag.addDocument('TypeScript is a typed superset of JavaScript.');

// Query with graph context
const result = await graphRag.query('What is TypeScript?');

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Configuration

interface GraphRAGConfig {
  llm?: string;
  graphStore: GraphStore;
  verbose?: boolean;
}

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Capabilities

  • Build knowledge graphs from documents
  • Query relationships between entities
  • Combine graph traversal with vector search
  • Extract entities and relationships
  • Support complex multi-hop queries

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CLI Usage

praisonai-ts graph-rag info --json