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Title: GitHub - ai-gpu-learn/GenerativeAIExamples: Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture. · GitHub

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

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https://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/docs/images/apps-catalog-promo-web-banner-laptop-300@2x.jpg
https://github.com/ai-gpu-learn/GenerativeAIExamples#nvidia-generative-ai-examples
https://github.com/ai-gpu-learn/GenerativeAIExamples#table-of-contents
What's New?https://github.com/ai-gpu-learn/GenerativeAIExamples#whats-new
Data Flywheelhttps://github.com/ai-gpu-learn/GenerativeAIExamples#data-flywheel
Safer Agentic AIhttps://github.com/ai-gpu-learn/GenerativeAIExamples#safer-agentic-ai
Knowledge Graph RAGhttps://github.com/ai-gpu-learn/GenerativeAIExamples#knowledge-graph-rag
Agentic Workflows with Llama 3.1https://github.com/ai-gpu-learn/GenerativeAIExamples#agentic-workflows-with-llama-31
RAG with Local NIM Deployment and LangChainhttps://github.com/ai-gpu-learn/GenerativeAIExamples#rag-with-local-nim-deployment-and-langchain
Vision NIM Workflowshttps://github.com/ai-gpu-learn/GenerativeAIExamples#vision-nim-workflows
Try it Now!https://github.com/ai-gpu-learn/GenerativeAIExamples#try-it-now
Data Flywheelhttps://github.com/ai-gpu-learn/GenerativeAIExamples#data-flywheel
Tool-Calling Notebookshttps://github.com/ai-gpu-learn/GenerativeAIExamples#tool-calling-notebooks
RAGhttps://github.com/ai-gpu-learn/GenerativeAIExamples#rag
RAG Notebookshttps://github.com/ai-gpu-learn/GenerativeAIExamples#rag-notebooks
RAG Exampleshttps://github.com/ai-gpu-learn/GenerativeAIExamples#rag-examples
RAG Toolshttps://github.com/ai-gpu-learn/GenerativeAIExamples#rag-tools
RAG Projectshttps://github.com/ai-gpu-learn/GenerativeAIExamples#rag-projects
Documentationhttps://github.com/ai-gpu-learn/GenerativeAIExamples#documentation
Getting Startedhttps://github.com/ai-gpu-learn/GenerativeAIExamples#getting-started
How To'shttps://github.com/ai-gpu-learn/GenerativeAIExamples#how-tos
Referencehttps://github.com/ai-gpu-learn/GenerativeAIExamples#reference
Communityhttps://github.com/ai-gpu-learn/GenerativeAIExamples#community
https://github.com/ai-gpu-learn/GenerativeAIExamples#whats-new
https://github.com/ai-gpu-learn/GenerativeAIExamples#data-flywheel
Tool Calling Fine-tuning, Inference, Evaluation, and Guardrailing with NVIDIA NeMo Microservices and NIMshttps://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/nemo/data-flywheel/tool-calling
Embedding Fine-tuning, Inference, and Evaluation with NVIDIA NeMo Microservices and NIMshttps://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/nemo/data-flywheel/embedding-finetuning
https://github.com/ai-gpu-learn/GenerativeAIExamples#safer-agentic-ai
Audit your LLMshttps://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/nemo/NeMo-Auditor/Getting_Started_With_NeMo_Auditor.ipynb
Inference with Parallel Railshttps://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/nemo/NeMo-Guardrails/Parallel_Rails_Tutorial.ipynb
https://github.com/ai-gpu-learn/GenerativeAIExamples#knowledge-graph-rag
Knowledge Graphs for RAG with NVIDIA AI Foundation Models and Endpointshttps://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/community/knowledge_graph_rag
https://github.com/ai-gpu-learn/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/ai-gpu-learn/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/ai-gpu-learn/GenerativeAIExamples#rag-with-local-nim-deployment-and-langchain
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Generative AI Example releaseshttps://github.com/NVIDIA/GenerativeAIExamples/releases/
https://github.com/ai-gpu-learn/GenerativeAIExamples#vision-nim-workflows
GenerativeAIExamples/vision_workflowshttps://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/vision_workflows/README.md
Learn how to use VLMs to automatically monitor a video stream for custom events.https://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/nim_workflows/vlm_alerts/README.md
Learn how to search images with natural language using NV-CLIP.https://github.com/ai-gpu-learn/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/ai-gpu-learn/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/ai-gpu-learn/GenerativeAIExamples/blob/main/nim_workflows/nvdinov2_few_shot/README.md
https://github.com/ai-gpu-learn/GenerativeAIExamples#try-it-now
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xLAMhttps://huggingface.co/datasets/Salesforce/xlam-function-calling-60k
https://github.com/ai-gpu-learn/GenerativeAIExamples#rag
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LangChainhttps://python.langchain.com/v0.2/docs/integrations/chat/nvidia_ai_endpoints/
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https://github.com/ai-gpu-learn/GenerativeAIExamples#langchain-notebooks
Basic RAG with CHATNVIDIA LangChain Integrationhttps://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/RAG/notebooks/langchain/langchain_basic_RAG.ipynb
RAG using local NIM microservices for LLMs and Retrievalhttps://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/RAG/notebooks/langchain/RAG_Langchain_with_Local_NIM.ipynb
RAG for HTML Documentshttps://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/RAG/notebooks/langchain/RAG_for_HTML_docs_with_Langchain_NVIDIA_AI_Endpoints.ipynb
Chat with NVIDIA Financial Reportshttps://github.com/ai-gpu-learn/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/ai-gpu-learn/GenerativeAIExamples/blob/main/RAG/notebooks/langchain/agentic_rag_with_nemo_retriever_nim.ipynb
Agents with Human in the Loophttps://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/RAG/notebooks/langchain/LangGraph_HandlingAgent_IntermediateSteps.ipynb
https://github.com/ai-gpu-learn/GenerativeAIExamples#llamaindex-notebooks
Basic RAG with LlamaIndex Integrationhttps://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/RAG/notebooks/llamaindex/llamaindex_basic_RAG.ipynb
https://github.com/ai-gpu-learn/GenerativeAIExamples#rag-examples
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https://github.com/ai-gpu-learn/GenerativeAIExamples#advanced-rag-examples
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Query Decompositionhttps://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/RAG/examples/advanced_rag/query_decomposition_rag/README.md
https://github.com/ai-gpu-learn/GenerativeAIExamples#rag-tools
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https://github.com/ai-gpu-learn/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/ai-gpu-learn/GenerativeAIExamples#documentation
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Prerequisiteshttps://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/docs/common-prerequisites.md
https://github.com/ai-gpu-learn/GenerativeAIExamples#how-tos
Changing the Inference or Embedded Modelhttps://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/docs/change-model.md
Customizing the Vector Databasehttps://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/docs/vector-database.md
Customizing the Chain Serverhttps://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/docs/chain-server.md
Chunking Strategyhttps://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/docs/text-splitter.md
Prompting Template Engineeringhttps://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/docs/prompt-customization.md
Configuring LLM Parameters at Runtimehttps://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/docs/llm-params.md
Supporting Multi-Turn Conversationshttps://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/docs/multiturn.md
Speaking Queries and Listening to Responses with NVIDIA Rivahttps://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/docs/riva-asr-tts.md
https://github.com/ai-gpu-learn/GenerativeAIExamples#reference
Support Matrixhttps://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/docs/support-matrix.md
Architecturehttps://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/docs/architecture.md
Using the Sample Chat Web Applicationhttps://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/docs/using-sample-web-application.md
RAG Playground Web Applicationhttps://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/docs/frontend.md
Software Component Configurationhttps://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/docs/configuration.md
https://github.com/ai-gpu-learn/GenerativeAIExamples#community
contributinghttps://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/docs/contributing.md
communityhttps://github.com/ai-gpu-learn/GenerativeAIExamples/blob/main/community/README.md
Readmehttps://github.com/ai-gpu-learn/GenerativeAIExamples#readme-ov-file
Licensehttps://github.com/ai-gpu-learn/GenerativeAIExamples#License-1-ov-file
Contributinghttps://github.com/ai-gpu-learn/GenerativeAIExamples#contributing-ov-file
Security policyhttps://github.com/ai-gpu-learn/GenerativeAIExamples#security-ov-file
Activityhttps://github.com/ai-gpu-learn/GenerativeAIExamples/activity
Custom propertieshttps://github.com/ai-gpu-learn/GenerativeAIExamples/custom-properties
0 forkshttps://github.com/ai-gpu-learn/GenerativeAIExamples/forks
Report repositoryhttps://github.com/contact/report-content?content_url=https%3A%2F%2Fgithub.com%2Fai-gpu-learn%2FGenerativeAIExamples&report=ai-gpu-learn+%28user%29
https://github.com
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Privacyhttps://docs.github.com/site-policy/privacy-policies/github-privacy-statement
Securityhttps://github.com/security
Statushttps://www.githubstatus.com/
Communityhttps://github.community/
Docshttps://docs.github.com/
Contacthttps://support.github.com?tags=dotcom-footer

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