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This example implements a GPU-accelerated pipeline for creating and querying knowledge graphs using Retrieval-Augmented Generation (RAG).

The approach leverages NVIDIA's AI technologies and RAPIDS ecosystem to process large-scale datasets efficiently.

It allows users to interact through a chat interface and also visualize the corresponding knowledge graph, and perform evaluations against synthetic data generated with NVIDIA's Nemotron-4 340B model.

@shubhadeepd shubhadeepd added the enhancement New feature or request label Jul 4, 2024
@shubhadeepd shubhadeepd requested review from dglogo and sumitkbh July 4, 2024 18:14
@shubhadeepd shubhadeepd self-assigned this Jul 4, 2024
@shubhadeepd shubhadeepd merged commit 2c6eff2 into main Jul 5, 2024
@shubhadeepd shubhadeepd deleted the rag-knowledge-graph-experimental branch July 5, 2024 15:14
anniesurla pushed a commit to anniesurla/GenerativeAIExamples that referenced this pull request Jun 5, 2025
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3 participants