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Wed, April 22DeepTech DataTech
Many RAG initiatives stall after early demos because they hallucinate, break under orchestration, or fail to show measurable business value. This session introduces Agentic RAG, where retrieval decisions, evaluation, and improvement are handled by agents embedded in enterprise workflows. The session explains how Salesforce Agentforce, Salesforce Data Cloud, and LangGraph can be combined to build grounded, self correcting RAG systems. It also covers how to apply evaluation frameworks such as the RAG Triad, TruLens, and Ragas to measure accuracy, fairness, and ROI. The session concludes with a live Smart Checkout Helper scenario that demonstrates grounded retrieval, agent driven correction, and quantified business impact.
What you will Learn
How to design Agentic RAG systems that coordinate retrieval, reasoning, and decision making across enterprise workflows
How to evaluate RAG quality using context, groundedness, relevance, and continuous validation frameworks
How to connect RAG metrics to business outcomes such as conversion lift, call deflection, and AHT reduction
Who Should Attend
Software Developers building AI enabled applications
Architects designing production grade RAG and agent systems
Data and AI Engineers responsible for grounding and evaluation
Technical Leads and Engineering Managers focused on reliability, governance, and ROI
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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.
