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Title: GitHub - NVIDIA/GenerativeAIExamples: Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

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Description: Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture. - NVIDIA/GenerativeAIExamples

Open Graph Description: Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture. - NVIDIA/GenerativeAIExamples

X Description: Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture. - NVIDIA/GenerativeAIExamples

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READMEhttps://github.com/NVIDIA/GenerativeAIExamples
Contributinghttps://github.com/NVIDIA/GenerativeAIExamples
Apache-2.0 licensehttps://github.com/NVIDIA/GenerativeAIExamples
Licensehttps://github.com/NVIDIA/GenerativeAIExamples
Securityhttps://github.com/NVIDIA/GenerativeAIExamples
https://github.com/NVIDIA/GenerativeAIExamples/blob/main/docs/images/apps-catalog-promo-web-banner-laptop-300@2x.jpg
https://github.com/NVIDIA/GenerativeAIExamples#nvidia-generative-ai-examples
https://github.com/NVIDIA/GenerativeAIExamples#table-of-contents
What's New?https://github.com/NVIDIA/GenerativeAIExamples#whats-new
Data Flywheelhttps://github.com/NVIDIA/GenerativeAIExamples#data-flywheel
Safer Agentic AIhttps://github.com/NVIDIA/GenerativeAIExamples#safer-agentic-ai
Knowledge Graph RAGhttps://github.com/NVIDIA/GenerativeAIExamples#knowledge-graph-rag
Agentic Workflows with Llama 3.1https://github.com/NVIDIA/GenerativeAIExamples#agentic-workflows-with-llama-31
RAG with Local NIM Deployment and LangChainhttps://github.com/NVIDIA/GenerativeAIExamples#rag-with-local-nim-deployment-and-langchain
Vision NIM Workflowshttps://github.com/NVIDIA/GenerativeAIExamples#vision-nim-workflows
Try it Now!https://github.com/NVIDIA/GenerativeAIExamples#try-it-now
Data Flywheelhttps://github.com/NVIDIA/GenerativeAIExamples#data-flywheel
Tool-Calling Notebookshttps://github.com/NVIDIA/GenerativeAIExamples#tool-calling-notebooks
RAGhttps://github.com/NVIDIA/GenerativeAIExamples#rag
RAG Notebookshttps://github.com/NVIDIA/GenerativeAIExamples#rag-notebooks
RAG Exampleshttps://github.com/NVIDIA/GenerativeAIExamples#rag-examples
RAG Toolshttps://github.com/NVIDIA/GenerativeAIExamples#rag-tools
RAG Projectshttps://github.com/NVIDIA/GenerativeAIExamples#rag-projects
Documentationhttps://github.com/NVIDIA/GenerativeAIExamples#documentation
Getting Startedhttps://github.com/NVIDIA/GenerativeAIExamples#getting-started
How To'shttps://github.com/NVIDIA/GenerativeAIExamples#how-tos
Referencehttps://github.com/NVIDIA/GenerativeAIExamples#reference
Communityhttps://github.com/NVIDIA/GenerativeAIExamples#community
https://github.com/NVIDIA/GenerativeAIExamples#whats-new
https://github.com/NVIDIA/GenerativeAIExamples#data-flywheel
Tool Calling Fine-tuning, Inference, Evaluation, and Guardrailing with NVIDIA NeMo Microservices and NIMshttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/nemo/data-flywheel/tool-calling
Embedding Fine-tuning, Inference, and Evaluation with NVIDIA NeMo Microservices and NIMshttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/nemo/data-flywheel/embedding-finetuning
https://github.com/NVIDIA/GenerativeAIExamples#safer-agentic-ai
Audit your LLMshttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/nemo/NeMo-Auditor/Getting_Started_With_NeMo_Auditor.ipynb
Inference with Parallel Railshttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/nemo/NeMo-Guardrails/Parallel_Rails_Tutorial.ipynb
https://github.com/NVIDIA/GenerativeAIExamples#knowledge-graph-rag
Knowledge Graphs for RAG with NVIDIA AI Foundation Models and Endpointshttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/community/knowledge_graph_rag
https://github.com/NVIDIA/GenerativeAIExamples#agentic-workflows-with-llama-31
Bloghttps://developer.nvidia.com/blog/build-an-agentic-rag-pipeline-with-llama-3-1-and-nvidia-nemo-retriever-nims/
Notebookhttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/RAG/notebooks/langchain/agentic_rag_with_nemo_retriever_nim.ipynb
NVIDIA Morpheus, NIM microservices, and RAG pipelines integrated to create LLM-based agent pipelineshttps://github.com/NVIDIA/GenerativeAIExamples/blob/v0.7.0/experimental/event-driven-rag-cve-analysis
https://github.com/NVIDIA/GenerativeAIExamples#rag-with-local-nim-deployment-and-langchain
Bloghttps://developer.nvidia.com/blog/tips-for-building-a-rag-pipeline-with-nvidia-ai-langchain-ai-endpoints/
Notebookhttps://github.com/NVIDIA/GenerativeAIExamples/blob/v0.7.0/notebooks/08_RAG_Langchain_with_Local_NIM.ipynb
Generative AI Example releaseshttps://github.com/NVIDIA/GenerativeAIExamples/releases/
https://github.com/NVIDIA/GenerativeAIExamples#vision-nim-workflows
GenerativeAIExamples/vision_workflowshttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/vision_workflows/README.md
Learn how to use VLMs to automatically monitor a video stream for custom events.https://github.com/NVIDIA/GenerativeAIExamples/blob/main/nim_workflows/vlm_alerts/README.md
Learn how to search images with natural language using NV-CLIP.https://github.com/NVIDIA/GenerativeAIExamples/blob/main/nim_workflows/nvclip_multimodal_search/README.md
Learn how to combine VLMs, LLMs and CV models to build a robust text extraction pipeline.https://github.com/NVIDIA/GenerativeAIExamples/blob/main/nim_workflows/vision_text_extraction/README.md
Learn how to use embeddings with NVDINOv2 and a Milvus VectorDB to build a few shot classification model.https://github.com/NVIDIA/GenerativeAIExamples/blob/main/nim_workflows/nvdinov2_few_shot/README.md
https://github.com/NVIDIA/GenerativeAIExamples#try-it-now
NVIDIA API Cataloghttps://build.ngc.nvidia.com/explore/
https://localhost:8090/https://localhost:8090/
https://github.com/NVIDIA/GenerativeAIExamples#data-flywheel-1
Data Flywheelhttps://www.nvidia.com/en-us/glossary/data-flywheel/
https://github.com/NVIDIA/GenerativeAIExamples#tool-calling-notebooks
tutorialhttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/nemo/data-flywheel/tool-calling
Llama-3.2-1B-Instructhttps://huggingface.co/meta-llama/Llama-3.2-1B-Instruct
xLAMhttps://huggingface.co/datasets/Salesforce/xlam-function-calling-60k
https://github.com/NVIDIA/GenerativeAIExamples#rag
https://github.com/NVIDIA/GenerativeAIExamples#rag-notebooks
LangChainhttps://python.langchain.com/v0.2/docs/integrations/chat/nvidia_ai_endpoints/
LlamaIndexhttps://docs.llamaindex.ai/en/stable/examples/llm/nvidia/
Haystackhttps://haystack.deepset.ai/integrations/nvidia
notebookshttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/RAG/notebooks/README.md
https://github.com/NVIDIA/GenerativeAIExamples#langchain-notebooks
Basic RAG with CHATNVIDIA LangChain Integrationhttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/RAG/notebooks/langchain/langchain_basic_RAG.ipynb
RAG using local NIM microservices for LLMs and Retrievalhttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/RAG/notebooks/langchain/RAG_Langchain_with_Local_NIM.ipynb
RAG for HTML Documentshttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/RAG/notebooks/langchain/RAG_for_HTML_docs_with_Langchain_NVIDIA_AI_Endpoints.ipynb
Chat with NVIDIA Financial Reportshttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/RAG/notebooks/langchain/Chat_with_nvidia_financial_reports.ipynb
NIM Tool Calling 101https://github.com/langchain-ai/langchain-nvidia/blob/main/cookbook/nvidia_nim_agents_llama3.1.ipynb
Agentic RAG with NeMo Retrieverhttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/RAG/notebooks/langchain/agentic_rag_with_nemo_retriever_nim.ipynb
Agents with Human in the Loophttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/RAG/notebooks/langchain/LangGraph_HandlingAgent_IntermediateSteps.ipynb
https://github.com/NVIDIA/GenerativeAIExamples#llamaindex-notebooks
Basic RAG with LlamaIndex Integrationhttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/RAG/notebooks/llamaindex/llamaindex_basic_RAG.ipynb
https://github.com/NVIDIA/GenerativeAIExamples#rag-examples
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on premiseshttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/RAG/examples/local_deploy
https://github.com/NVIDIA/GenerativeAIExamples#basic-rag-examples
LangChain examplehttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/RAG/examples/basic_rag/langchain/README.md
LlamaIndex examplehttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/RAG/examples/basic_rag/llamaindex/README.md
https://github.com/NVIDIA/GenerativeAIExamples#advanced-rag-examples
Multi-Turnhttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/RAG/examples/advanced_rag/multi_turn_rag/README.md
Multimodal Datahttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/RAG/examples/advanced_rag/multimodal_rag/README.md
Structured Datahttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/RAG/examples/advanced_rag/structured_data_rag/README.md
Query Decompositionhttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/RAG/examples/advanced_rag/query_decomposition_rag/README.md
https://github.com/NVIDIA/GenerativeAIExamples#rag-tools
Evaluationhttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/RAG/tools/evaluation/README.md
Observabilityhttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/RAG/tools/observability/README.md
https://github.com/NVIDIA/GenerativeAIExamples#rag-projects
NVIDIA Tokkio LLM-RAGhttps://docs.nvidia.com/ace/latest/workflows/tokkio/text/Tokkio_LLM_RAG_Bot.html
Hybrid RAG Project on AI Workbenchhttps://github.com/NVIDIA/workbench-example-hybrid-rag
https://github.com/NVIDIA/GenerativeAIExamples#documentation
https://github.com/NVIDIA/GenerativeAIExamples#getting-started
Prerequisiteshttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/docs/common-prerequisites.md
https://github.com/NVIDIA/GenerativeAIExamples#how-tos
Changing the Inference or Embedded Modelhttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/docs/change-model.md
Customizing the Vector Databasehttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/docs/vector-database.md
Customizing the Chain Serverhttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/docs/chain-server.md
Chunking Strategyhttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/docs/text-splitter.md
Prompting Template Engineeringhttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/docs/prompt-customization.md
Configuring LLM Parameters at Runtimehttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/docs/llm-params.md
Supporting Multi-Turn Conversationshttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/docs/multiturn.md
Speaking Queries and Listening to Responses with NVIDIA Rivahttps://github.com/NVIDIA/GenerativeAIExamples/blob/main/docs/riva-asr-tts.md
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