Neo 4j
1
Neo4j Data Engineering
Strategy & Architecture
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• Graph strategy & roadmap assessment
• Graph + Lakehouse reference architecture
• Tool rationalization (when Neo4j vs Spark Graph vs SQL)
Data Modeling & Engineering
• Business-driven graph data models
• Event-driven and real-time graph pipelines
• Data ingestion from ERP, CRM, MDM, IoT, APIs
Platform & Operations
• Neo4j Aura / Enterprise setup
• Performance tuning & query optimization
• HA, DR, security, governance
• Cloud cost optimization
• Neo4j UPGRADE
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2
Neo4j Graph Data Science
Graph Data Science Solutions
We design and operationalize Neo4j Graph Data Science solutions that apply graph algorithms and graph-native ML to uncover patterns hidden in connected data.
By leveraging Neo4j GDS, we enable organizations to:
• Apply proven graph algorithms for insight discovery
• Engineer graph-based features for ML and AI
• Embed graph intelligence directly into business workflows
• Community detection, similarity, and centrality analysis
• Pathfinding and dependency analysis
• Integration with Snowflake, Databricks, and ML platforms
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3
Neo4j AI / Graph RAG
AI / Graph RAG Solutions
We help organizations move beyond vector-only RAG by introducing Neo4j as the semantic backbone for AI reasoning and retrieval.
Our services include:
• Knowledge graph design for AI and LLM grounding
• Build KG leveraging LLM
• Hybrid retrieval (graph + vector + metadata)
• Entity, relationship, and context enrichment pipelines
• Prompt engineering and AI governance
• Hallucination reduction and explainability patterns
RESULT: AI systems that reason over relationships, respect enterprise context, and deliver trustworthy outcomes
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