GraphRAG HTAP (Graph + RAG + HTAP)

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;

3. Combine Graph + Vector Search

-- 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

   • Intelligent chatbots with graph-backed knowledge
   • RAG pipelines with relationship-aware retrieval

2. Real-Time Analytics

   • OLTP queries for user interactions
   • OLAP queries for business intelligence
   • Automatic query routing

3. Graph Machine Learning

   • Node/edge embeddings with graph structure
   • Community detection and influence analysis
   • 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

Related Features

• Vector Search: /docs/features/multimodal-vector/
• Full-Text Search: /docs/guides/user/FULL_TEXT_SEARCH_TUNING_GUIDE.md
• SQL Interface: /docs/features/sql-interface/

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Status: Production Ready Version: v7.0