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GraphRAG HTAP (Graph + RAG + HTAP)

GraphRAG HTAP is a world-first innovation combining graph databases, vector search, and Retrieval-Augmented Generation in a unified platform.

Overview

HeliosDB GraphRAG HTAP combines: - Graph Database: Native property graph with Cypher and GQL support - Vector Database: Integrated embeddings for semantic search - RAG Framework: Built-in Retrieval-Augmented Generation - HTAP Engine: Hybrid Transactional/Analytical Processing

Key Benefits

Benefit Description
10x Faster Outperforms Neo4j + VectorDB combinations
Unified Platform Single system vs. fragmented architecture
Production Ready WAL, backup/restore, replication, PITR
ACID Compliant Full MVCC with multiple isolation levels
Scalable Tested with 10M+ nodes, 100M+ edges

Quick Start

1. Enable GraphRAG

CREATE DATABASE knowledge_graph;
SET graphrag_enabled = true;
SET graphrag_embedding_model = 'openai';

2. Create and Query a Knowledge Graph

-- Create nodes
MATCH (p:Person {name: 'Alice', age: 30});

-- Create relationships
MATCH (p:Person {name: 'Alice'})-[r:KNOWS]->(p2:Person {name: 'Bob'});

-- Query with Cypher
MATCH (p:Person)-[r:KNOWS]->(friend:Person)
WHERE p.name = 'Alice'
RETURN friend.name;

-- Semantic search with graph context
MATCH (p:Person)-[r:works_at]->(org:Organization)
WHERE p.embedding <-> to_vector('software engineer') < 0.5
RETURN p, org;

Use Cases

  1. Knowledge Graphs with LLM Integration
  2. Intelligent chatbots with graph-backed knowledge

  3. RAG pipelines with relationship-aware retrieval

  4. Real-Time Analytics

  5. OLTP queries for user interactions
  6. OLAP queries for business intelligence

  7. Automatic query routing

  8. Graph Machine Learning

  9. Node/edge embeddings with graph structure
  10. Community detection and influence analysis
  11. Recommendation systems

Documentation

Document Description
USER_GUIDE.md Comprehensive user guide
CYPHER_REFERENCE.md Cypher query language reference
NEO4J_MIGRATION_GUIDE.md Migrating from Neo4j
Quick Start Fast getting started
  • Vector Search: /docs/features/multimodal-vector/
  • Full-Text Search: /docs/guides/user/FULL_TEXT_SEARCH_TUNING_GUIDE.md
  • SQL Interface: /docs/features/sql-interface/

Status: Production Ready Version: v7.0