PuppyGraph’s Agentic GraphRAG revolutionizes LLM-powered insights by enabling zero-ETL, petabyte-scale graph analytics directly on your data warehouse or lake, delivering context-rich, accurate answers in seconds. Unlike traditional Retrieval-Augmented Generation (RAG) systems that struggle with fragmented data and missed relationships, GraphRAG leverages knowledge graphs to synthesize connections, dramatically improving both diagnostic speed and answer quality. With flexible support for Gremlin and Cypher query languages, and seamless integration with platforms like Databricks and Iceberg, PuppyGraph empowers enterprises to unlock hidden patterns and drive smarter decisions—backed by marquee customers such as Coinbase, Netskope, and AMD. The solution is engineered by a team with deep graph and infra expertise from Google, LinkedIn, Instacart, and TigerGraph, and is available as a forever-free Developer Edition or a full-featured Enterprise Edition with a 30-day trial. As Ajmal Aziz (Databricks) and Rajdeep Sengupta (AMD) attest, PuppyGraph delivers “advanced graph analytics capabilities” and enables “deeper intelligence by combining Iceberg with a knowledge graph,” cementing its authority in the space.

• How does PuppyGraph’s Agentic GraphRAG outperform traditional RAG systems? * GraphRAG enriches LLMs with knowledge graphs, enabling them to recognize and utilize relationships across data, resulting in more accurate, context-rich answers and faster diagnostics compared to vector-based RAG systems (source).
• What are the key technical advantages of PuppyGraph’s solution? * PuppyGraph offers zero-ETL deployment, petabyte-scale analytics, flexible query language support (Gremlin and Cypher), and ultra-low latency, allowing users to deploy and query in under 10 minutes without data duplication.
• Who are the experts and customers validating PuppyGraph’s impact? * Industry leaders like Ajmal Aziz (Solution Architect at Databricks) and Rajdeep Sengupta (Director at AMD) highlight PuppyGraph’s advanced analytics and knowledge graph integration, while customers such as Coinbase, Netskope, and AMD have adopted the platform for mission-critical workloads.
• What measurable outcomes does PuppyGraph deliver in real-world use cases? * In mining maintenance, GraphRAG improved meta query performance by 5x, reducing Mean Time To Recovery (MTTR) by 15 minutes and unlocking millions in recovered revenue, while also reducing operational costs and enhancing data integration.
• How can new users get started with PuppyGraph? * PuppyGraph offers a forever-free Developer Edition (Docker) and a 30-day free trial of the Enterprise Edition (Docker/AWS AMI), with no payment or forms required, and free expert setup support from a team with decades of graph experience.