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Overview

This blueprint shows how an AI research agent, informed by many data sources, can synthesize hours of research in minutes. The AI-Q NVIDIA Blueprint enables developers to build AI agents that use reasoning and connect to many data sources and tools to distill in-depth source materials with efficiency and precision. Using AI-Q, agents summarize large data sets, generating tokens 5x faster and ingesting petabyte scale data 15x faster with better semantic accuracy. The blueprint uses the open-source NVIDIA Agent Intelligence toolkit for evaluation and profiling of the agent workflow, enabling easier optimization and interoperability of agents, tools, and data sources.

Architecture Diagram

$\"AIRA$

Key Features

Flexibly choose, and connect agents and tools best suited for each task
Evaluate, audit and debug agentic workflow to identify opportunities for optimization
Multimodal PDF data extraction and retrieval with NVIDIA NeMo Retriever
Llama Nemotron reasoning capabilities delivering the highest accuracy and lowest latency for analyzing datasets, identifying patterns, and proposing solutions

Software used in this blueprint

NVIDIA Technology

llama-3.3-nemotron-super-49b-v1.5
llama-3.2-nv-embedqa-1b-v2
llama-3.2-nv-rerankqa-1b-v2
nemoretriever-graphic-elements-v1
nemoretriever-table-structure-v1
nemoretriever-page-elements-v2
nemoretriever-parse
paddleocr
llama-3.3-70b-instruct
Agent Intelligence open-source toolkit

3rd Party Software

Tavily (Optional)
LangChain
Milvus database (accelerated with NVIDIA cuVS)

Ethical Considerations

NVIDIA believes Trustworthy AI is a shared responsibility, and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their supporting model team to ensure the models meet requirements for the relevant industry and use case and address unforeseen product misuse. For more detailed information on ethical considerations for the models, please see the Model Card++ Explainability, Bias, Safety & Security, and Privacy Subcards. Please report security vulnerabilities or NVIDIA AI concerns here.

License

GOVERNING TERMS: The software and materials are governed by NVIDIA Software License Agreement and Product Specific Terms for AI Product; except as follows: (a) the models, other than the Llama-3.3-Nemotron-Super-49B-v1.5 model, are governed by the NVIDIA Community Model License; (b) the Llama-3.3-Nemotron-Super-49B-v1.5 model is governed by the NVIDIA Open Model License Agreement, and (c) the NeMo Retriever extraction is released under the Apache-2.0 license.

ADDITIONAL INFORMATION: For NVIDIA Retrieval QA Llama 3.2 1B Reranking v2 model, NeMo Retriever Graphic Elements v1 model, and NVIDIA Retrieval QA Llama 3.2 1B Embedding v2: Llama 3.2 Community License Agreement, Built with Llama. For Llama-3.3-70b-Instruct model, Llama 3.3 Community License Agreement, Built with Llama.

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The AI-Q NVIDIA Blueprint enables developers to build AI agents that use reasoning and connect to many data sources and tools to distill in-depth source materials with efficiency and precision. Using AI-Q, agents summarize large data sets, generating tokens 5x faster and ingesting petabyte scale data 15x faster with better semantic accuracy. The blueprint uses the open-source NVIDIA Agent Intelligence toolkit for evaluation and profiling of the agent workflow, enabling easier optimization and interoperability of agents, tools, and data sources.\n\n## Architecture Diagram\n\n![AIRA archiutecture diagram](https://assets.ngc.nvidia.com/products/api-catalog/aiq/diagram.jpg)\n\n\n## Key Features\n- Flexibly choose, and connect agents and tools best suited for each task\n- Evaluate, audit and debug agentic workflow to identify opportunities for optimization\n- Multimodal PDF data extraction and retrieval with NVIDIA NeMo Retriever\n- Llama Nemotron reasoning capabilities delivering the highest accuracy and lowest latency for analyzing datasets, identifying patterns, and proposing solutions\n\n## Software used in this blueprint\n\nNVIDIA Technology\n- llama-3.3-nemotron-super-49b-v1.5\n- llama-3.2-nv-embedqa-1b-v2\n- llama-3.2-nv-rerankqa-1b-v2\n- nemoretriever-graphic-elements-v1\n- nemoretriever-table-structure-v1\n- nemoretriever-page-elements-v2\n- nemoretriever-parse\n- paddleocr\n- llama-3.3-70b-instruct\n- Agent Intelligence open-source toolkit\n\n3rd Party Software\n- Tavily (Optional)\n- LangChain\n- Milvus database (accelerated with NVIDIA cuVS)\n\n## Ethical Considerations\nNVIDIA believes Trustworthy AI is a shared responsibility, and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their supporting model team to ensure the models meet requirements for the relevant industry and use case and address unforeseen product misuse. For more detailed information on ethical considerations for the models, please see the Model Card++ Explainability, Bias, Safety & Security, and Privacy Subcards. Please report security vulnerabilities or NVIDIA AI concerns here.\n\n## License\n\nGOVERNING TERMS: The software and materials are governed by [NVIDIA Software License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-software-license-agreement/) and [Product Specific Terms for AI Product](https://www.nvidia.com/en-us/agreements/enterprise-software/product-specific-terms-for-ai-products/); except as follows: (a) the models, other than the Llama-3.3-Nemotron-Super-49B-v1.5 model, are governed by the [NVIDIA Community Model License](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-community-models-license/); (b) the Llama-3.3-Nemotron-Super-49B-v1.5 model is governed by the [NVIDIA Open Model License Agreement](https://developer.download.nvidia.com/licenses/nvidia-open-model-license-agreement-june-2024.pdf), and (c) the NeMo Retriever extraction is released under the [Apache-2.0 license](https://github.com/NVIDIA/nv-ingest/blob/main/LICENSE).\n\nADDITIONAL INFORMATION: For NVIDIA Retrieval QA Llama 3.2 1B Reranking v2 model, NeMo Retriever Graphic Elements v1 model, and NVIDIA Retrieval QA Llama 3.2 1B Embedding v2: [Llama 3.2 Community License Agreement](https://www.llama.com/llama3_2/license/), Built with Llama. 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As part of our bot management service, this cookie helps manage incoming traffic that matches criteria associated with bots.\nThis is a CloudFoundry cookie","OptanonConsent","nvid.nvidia.com","This cookie is set by the cookie compliance solution from OneTrust. It stores information about the categories of cookies the site uses and whether visitors have given or withdrawn consent for the use of each category. This enables site owners to prevent cookies in each category from being set in the users browser, when consent is not given. The cookie has a normal lifespan of one year, so that returning visitors to the site will have their preferences remembered. It contains no information that can identify the site visitor.","events.nvidia.com","This cookie is associated with the Amazon Web Services Elastic Load Balancing functionality for routing client request on the server.Used to attribute commission to affiliates when you arrive at the website from an affiliate referral link. It is set when you click on one of our links and used to let the advertiser and us know the website from which you came.","sessionid","This is a very generic cookie name that may have different purposes on different sites, but generally it will be some kind of anonymous session identifier.","_csrf","This cookie is used to prevent Cross-Site Request Forgery (CSRF) attacks, ensuring that each request made to the server is from the user's browser and is intentional.","enterprise-support.nvidia.com","Used to apply end-user cookie consent preferences set by our client-side utility.Custom- Short Duration. Unique ID of an Enquiry- used to validate access to case, and load exisiting data.\n","renderCtx","academicgrants.nvidia.com","Used to store site parameters in the session for reuse across requests by a single client for functionality and performance reasons.","ph_phc_yQgAEdJJkVpI24NdSRID2mor1x1leRpDoC9yZ9mfXal_posthog","The PostHog ph_phc_xxx cookie is a session cookie used for identifying and tracking visitors on websites, helping us understand user behavior and website performance.","This cookie is managed by AWS and is used for load balancing.Used to attribute commission to affiliates when you arrive at the website from an affiliate referral link. It is set when you click on one of our links and used to let the advertiser and us know the website from which you came.","This cookie is associated with Akamai and is used to differentiate between traffic from humans and bots.","OptanonAlertBoxClosed","docs.ngc.nvidia.com","This cookie is set by websites using certain versions of the cookie law compliance solution from OneTrust. It is set after visitors have seen a cookie information notice and in some cases only when they actively close the notice down. It enables the website not to show the message more than once to a user. The cookie has a normal lifespan of one year and contains no personal information.","nv_co","__uxq412__ses.88c1","investor.nvidia.com","learn.learn.nvidia.com","This cookie is associated with the Amazon Web Services Elastic Load Balancing functionality for routing client request on the server.","pctrk","Used to count page views by unauthenticated users against license usage.","bm_s","bpazaws52gukakzc__ctrl0_ctl36_uccaptcha","bm_sv","store.nvidia.com","The __cf_bm cookie is a cookie necessary to support Cloudflare Bot Management, currently in private beta. 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It is set when you click on one of our links and used to let the advertiser and us know the website from which you came.","_devzone_session","This cookie is likely used to maintain a user session on the website by the server. It is common for session identifiers to be used to keep users logged in and track their interaction with the site during a session.","_cs_c","The cookie is used by Content Square to save the user consent to be tracked.","bm_sz","This cookie is used by Akamai to optimize site performance and security. It is typically associated with the delivery of web content and services.","vcalliance.nvidia.com","ASP.NET_SessionId","General purpose platform session cookie, used by sites written with Microsoft .NET based technologies. 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