provides a trusted data foundation for the next wave of Enterprise AI with graph-based Contextual AI — transforming enterprise... scalable multi-model database that unifies graph, vector, document, and key-value data with full-text, geospatial, and vector...
for prioritized business use cases. Prototype applications using large language models (LLMs), embeddings, vector databases, graph.... Exposure to generative AI, large language models, embeddings, vector databases, graph data structures, or RAG workflows...
industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code... research or open-source contributions in compilers or ML systems. Benefits At Quadric, we value Integrity, Humility...
, including TorchDynamo (graph acquisition) and TorchInductor (lowering). - Hands-on experience writing high-performance kernels...-source AI infrastructure or high-performance computing projects....
) â— Contribute to GraphRAG design combining CMDB, dependency topology, and knowledge graph modeling â— Help integrate enterprise... APIs (ServiceNow, Workday, Microsoft Graph, etc.) â— Participate in testing, CI/CD automation, and performance tuning...