Akhil Hemanth
AI Technology Architect
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Akhil is a pragmatic designer with expertise in conceptual design, augmented reality, and construction administration. Passionate about integrating AI and automation into the AEC industry, he's also a self-taught programmer creating applications for applied technology. His diverse portfolio includes single-family homes, commercial buildings, senior-living, K-12, and mixed-use developments. Actively involved in the community, Akhil has served on the board of Freedom by Design and is the President of the AIA Savannah Young Architects Forum. Committed to democratizing emerging technologies, he pushes boundaries in AEC with AI and innovative tech solutions.
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Agentic GraphRAG: Multi-Agent Knowledge Graph Construction for Research Teams
Explore a multi-agent approach to GraphRAG that democratizes knowledge graph construction for research teams. Watch as four specialized AI agents collaborate: analyzing research focus to suggest entities, extracting knowledge from documents in parallel, merging duplicate entities, and optimizing graph structure - all while keeping researchers in control.
The session showcases a production-ready platform where teams upload PDFs, define their research domain, and receive AI-generated suggestions they can refine with domain expertise. Built with Neo4j, LangChain, and deployed on Cloudflare Workers, this agentic architecture dramatically improves extraction quality while maintaining accessibility for non-technical users.
Learn advanced techniques for agent coordination, streaming processing with real-time progress tracking, and hybrid human-AI decision making. The live demonstration processes research documents in real-time, showcasing how agent specialization produces higher-quality knowledge graphs than traditional single-LLM approaches.
Graph-Driven Knowledge Retrieval: Neo4j for Healthcare Building Codes
Explore the integration of Neo4j's graph database in RAG applications tailored for healthcare building codes. The session delves into practical applications, demonstrating how Neo4j's knowledge graph enhances retrieval and generation processes. Learn about specialized techniques such as LangSmith evaluators for maintaining answer consistency and retrieval conditioning for optimal outcomes. This session offers a practical demonstration of implementing Neo4j's knowledge graph to enhance RAG applications, providing valuable insights into improving information management workflows.
NODES 2025 Sessionize Event
NODES 2024 Sessionize Event
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