Graph RAG & AI Orchestration

At Data Technology and Services, we provide a comprehensive suite of services designed to help organizations harness the power of Knowledge Graphs and Generative AI. Our focus is on creating scalable, intelligent systems that drive innovation and efficiency.

Neo4j Graph Implementations

We specialize in designing and deploying Neo4j Knowledge Graphs that map complex relationships across enterprise data. By implementing Graph Data Science (GDS) algorithms, we uncover patterns in fraud detection, supply chain logistics, and customer path analysis. Our status as Neo4j Certified Professionals ensures high-fidelity results that scale.

Graph Data Pipeline & Kafka

High-performance AI requires real-time data orchestration. We implement low-latency event streaming using AWS MSK and Apache Kafka, ensuring your knowledge graph remains synchronized with production environments. By leveraging Change Data Capture (CDC) and custom Sink Connectors, we can replicate complex relational mutations into a high-fidelity graph layer for instantaneous retrieval.

GraphRAG & Agentic Orchestration

We build Retrieval-Augmented Generation (RAG) systems that utilize the structural connections of Knowledge Graphs to ground Large Language Models. Using frameworks like LangChain and LlamaIndex, we develop custom indexing strategies that combine Vector Search with Cypher-based pathfinding. This eliminates hallucinations and provides a verifiable basis for Agentic AI to execute complex, multi-step business logic via Model Context Protocol (MCP) servers.

Ontology Surfacing

We derive high-level Ontological structures from multi-million node graphs, providing a conceptual map of your digital assets. This enables better knowledge discovery, highlights gaps in your data landscape, and provides the "semantic glue" for multi-agent systems.