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GraphRAG and Explainable AI: Building Trustworthy LLM Outputs
Most enterprise LLM failures are not technical, they are trust failures. Models hallucinate, lose alignment with source truth, or generate answers with no traceable provenance, which is unacceptable in regulated industries. This session introduces GraphRAG, an emerging approach that combines knowledge graphs (Neo4j) with retrieval-augmented generation (RAG) to deliver transparent, explainable, and auditable AI outputs.
Attendees will learn how to design, evaluate, and deploy GraphRAG architectures aligned with the EU AI Act, NIST AI Risk Management Framework, and other enterprise governance standards. Through practical examples, the session will show how GraphRAG links entities, relationships, and source documents to model responses, enabling evidence-based reasoning, compliance, and confidence.
What You Will Learn
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How GraphRAG extends traditional RAG with Neo4j graphs for explainable AI
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Methods for tracing model responses back to data sources and relationships
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Design and evaluation patterns that align with regulatory frameworks (EU AI Act, NIST AI RMF)
Who Should Attend
AI architects, data scientists, compliance officers, and enterprise engineers focused on building transparent, traceable, and regulation-ready AI systems.
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About the speaker
Rohit Bhardwaj
Director of Architecture, Expert in Cloud-native Solutions
Rohit Bhardwaj is a Director of Architecture working at Salesforce. Rohit has extensive experience architecting multi-tenant cloud-native solutions in Resilient Microservices Service-Oriented architectures using AWS Stack. In addition, Rohit has a proven ability in designing solutions and executing and delivering transformational programs that reduce costs and increase efficiencies.
As a trusted advisor, leader, and collaborator, Rohit applies problem resolution, analytical, and operational skills to all initiatives and develops strategic requirements and solution analysis through all stages of the project life cycle and product readiness to execution.
Rohit excels in designing scalable cloud microservice architectures using Spring Boot and Netflix OSS technologies using AWS and Google clouds. As a Security Ninja, Rohit looks for ways to resolve application security vulnerabilities using ethical hacking and threat modeling. Rohit is excited about architecting cloud technologies using Dockers, REDIS, NGINX, RightScale, RabbitMQ, Apigee, Azul Zing, Actuate BIRT reporting, Chef, Splunk, Rest-Assured, SoapUI, Dynatrace, and EnterpriseDB. In addition, Rohit has developed lambda architecture solutions using Apache Spark, Cassandra, and Camel for real-time analytics and integration projects.
Rohit has done MBA from Babson College in Corporate Entrepreneurship, Masters in Computer Science from Boston University and Harvard University. Rohit is a regular speaker at No Fluff Just Stuff, UberConf, RichWeb, GIDS, and other international conferences.
