- AI Developers & Engineers: Build multimodal agents—text, image, video, audio—using tested workflows.
- Enterprise Architects: Integrate scalable retrieval-augmented generation (RAG) systems and research assistants.
- Data Teams & Researchers: Ingest and query large multimodal datasets like PDFs or video archives.
- Solution Providers: Assemble customer-service chatbots, security screening pipelines, or voice assistants.
- Startups & Scale-Ups: Launch AI applications faster with enterprise-grade blueprints.
How to Use Build by NVIDIA?
- Browse Blueprints: Choose from options like “Enterprise Research Agent,” “Video Search & Summarization,” or “RAG Pipeline.”
- Install Microservices: Deploy NeMo microservices via NIM—including retrievers, generators, summarizers, audio processors.
- Connect Data Sources: Ingest PDFs, video, audio, or enterprise documents using GPU-accelerated extractors.
- Configure Agent Flow: Use reference code and Helm charts to customize workflows with RAG, chat, audio/video pipelines.
- Deploy & Scale: Launch on any infrastructure—Kubernetes, cloud providers, or on-prem—with GPU acceleration and monitoring tools.
- Enterprise-Ready Blueprints: Pre-built, scalable pipelines for real-world AI use cases.
- Microservices Architecture: Modular NeMo services allow composable, GPU-accelerated AI components.
- Multimodal Support: Handles text, images, audio, and video in unified flows (e.g., PDF-to-podcast, video summarization).
- Cloud-Agnostic & Scalable: Easily deployable across Kubernetes and major clouds with performance tuning.
- Open-Weight Friendly: Works with open models like Llama and Mistral, giving flexibility and data control.
- Turnkey enterprise workflows for rapid prototyping
- GPU-accelerated microservices for fast inference
- Strong multimodal capabilities out of the box
- Modular and easily customizable pipelines
- Open-model compatibility avoids vendor lock-in
- Requires GPU infrastructure and Kubernetes expertise
- May involve non-trivial integration overhead for custom use cases
- Largely enterprise-oriented—individual developers may find it heavyweight
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Mistral Nemotron
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Soket AI is an Indian deep-tech startup building sovereign, multilingual foundational AI models and real-time voice/speech APIs designed for Indic languages and global scale. By focusing on language diversity, cultural context and ethical AI, Soket AI aims to develop models that recognise and respond across many languages, while delivering enterprise-grade capabilities for sectors such as defence, healthcare, education and governance.
Soket AI
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Sarvam AI
Sarvam AI is an Indian-based full-stack generative AI company with a strong focus on multilingual and voice-first AI applications tailored for India’s linguistic diversity and enterprise scale. Founded by experts with deep experience in India’s digital infrastructure, Sarvam is on a mission to build “sovereign AI” infrastructure—models, agents, and platforms developed and deployed entirely in India, aimed at governments, enterprises, and developers. According to company sources, the platform includes tools for building customizable AI agents fluent in 11 Indian languages, voice & text interfaces across channels (phone, WhatsApp, web, apps), and foundational models such as “Sarvam-1”, “Sarvam-M” and translation models optimized for Indian languages.
Sarvam AI
Sarvam AI is an Indian-based full-stack generative AI company with a strong focus on multilingual and voice-first AI applications tailored for India’s linguistic diversity and enterprise scale. Founded by experts with deep experience in India’s digital infrastructure, Sarvam is on a mission to build “sovereign AI” infrastructure—models, agents, and platforms developed and deployed entirely in India, aimed at governments, enterprises, and developers. According to company sources, the platform includes tools for building customizable AI agents fluent in 11 Indian languages, voice & text interfaces across channels (phone, WhatsApp, web, apps), and foundational models such as “Sarvam-1”, “Sarvam-M” and translation models optimized for Indian languages.
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Flowise AI is an open-source, visual tool that allows users to build, deploy, and manage AI workflows and chatbots powered by large language models without needing to code. It provides a drag-and-drop interface where users can visually connect LangChain components, APIs, data sources, and models to create complex AI systems easily. With Flowise AI, developers, analysts, and businesses can build chatbots, RAG pipelines, or automation systems through an intuitive UI rather than scripting everything manually. Its no-code design accelerates prototyping and deployment, enabling faster experimentation with LLM-powered workflows.
Flowise AI
Flowise AI is an open-source, visual tool that allows users to build, deploy, and manage AI workflows and chatbots powered by large language models without needing to code. It provides a drag-and-drop interface where users can visually connect LangChain components, APIs, data sources, and models to create complex AI systems easily. With Flowise AI, developers, analysts, and businesses can build chatbots, RAG pipelines, or automation systems through an intuitive UI rather than scripting everything manually. Its no-code design accelerates prototyping and deployment, enabling faster experimentation with LLM-powered workflows.
Flowise AI
Flowise AI is an open-source, visual tool that allows users to build, deploy, and manage AI workflows and chatbots powered by large language models without needing to code. It provides a drag-and-drop interface where users can visually connect LangChain components, APIs, data sources, and models to create complex AI systems easily. With Flowise AI, developers, analysts, and businesses can build chatbots, RAG pipelines, or automation systems through an intuitive UI rather than scripting everything manually. Its no-code design accelerates prototyping and deployment, enabling faster experimentation with LLM-powered workflows.
Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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