diff --git a/community/README.md b/community/README.md index 311a2095..f7539c91 100644 --- a/community/README.md +++ b/community/README.md @@ -57,7 +57,7 @@ Community examples are sample code and deployments for RAG pipelines that are no * [Digital Human Security Analyst with NVIDIA Morpheus](./digital-human-security-analyst/) - In this example, we create a RAG enabled co-pilot for Security Operation Center analysts. This tutorial can be applied to any use case where data __retrieval__ and __synthesis__ can be simple but tedious (ie. writing reports from numerical datapoints). We cover data ingestion, multi-step agentic reasoning, RAG, speech input/output, and __digital human face model animation__ using the [Morpheus cybersecurity](https://developer.nvidia.com/morpheus-cybersecurity), [LLM NIMs](https://build.nvidia.com/meta/llama-3_1-8b-instruct), [NeMo Retriever](https://www.nvidia.com/en-us/ai-data-science/products/nemo/), [Riva Speech Services](https://developer.nvidia.com/riva), and [ACE Audio2Face](https://build.nvidia.com/nvidia/audio2face) respectively. + In this example, we create a RAG enabled co-pilot for Security Operation Center analysts, with speech and facial animation. This tutorial can be applied to any use case where data __retrieval__ and __synthesis__ can be simple but tedious (ie. writing reports from multiple numerical datasources, or customer service requiring data lookup). We cover data ingestion, multi-step agentic reasoning, RAG, speech input/output, and __digital human face model animation__ using the [Morpheus cybersecurity](https://developer.nvidia.com/morpheus-cybersecurity), [LLM NIMs](https://build.nvidia.com/meta/llama-3_1-8b-instruct), [NeMo Retriever](https://www.nvidia.com/en-us/ai-data-science/products/nemo/), [Riva Speech Services](https://developer.nvidia.com/riva), and [ACE Audio2Face](https://build.nvidia.com/nvidia/audio2face) respectively. * [NVIDIA Knowledge Graph RAG](./knowledge_graph_rag)