Fitting models to the training data based on desired projections, data structure, performance metrics, and explainability
Classification, Regression, Reinforcement Learning, Unsupervised Learning, Deep Learning, Ensemble Models
Unlocking Smarter AI with GraphRAG: Better Answers with Knowledge Graph-Enhanced Retrieval
In an era where businesses need precise and actionable information, GraphRAG offers a significant leap forward in information retrieval. Unlike traditional retrieval-augmented generation (RAG), which can struggle to connect related but dispersed data, GraphRAG uses knowledge graphs to deliver more contextual, relevant, and actionable responses. This technology enables organizations to unlock deeper insights from their data, improving operational efficiency and decision-making without sacrificing precision.