FAQs / VIDIZMO AI Hub

VIDIZMO AI Hub

What problems does VIDIZMO AI Hub solve that off-the-shelf AI cannot?

Off-the-shelf AI lacks access to proprietary data, compliance controls, and deployment flexibility. Intelligence Hub connects to your content repositories, provides configurable confidence thresholds, runs on-premises or air-gapped when required, and delivers answers traceable to specific documents and timestamps.

Can VIDIZMO build a custom AI chatbot from my organization's documents?

Yes. Intelligence Hub's agentic RAG ingests your documents, videos, and media to create domain-specific chatbots that answer questions using your actual content. Multi-agent architecture routes questions to specialized child bots -- HR queries to an HR agent, IT questions to an IT agent -- for domain-specific accuracy.

Can one chatbot handle questions from multiple departments?

Yes. The multi-agent hierarchy uses a master bot that analyzes user intent and routes to specialized child bots. Each child bot has its own system prompt, scoped knowledge base, and configuration. Users interact with one interface while questions route automatically to the correct domain.

Can VIDIZMO AI run entirely on-premises without sending data to the cloud?

Yes. Self-hosted LLMs through Ollama and VLLM run entirely within customer infrastructure with zero outbound connections. The same workflow designer, agent tools, and RAG capabilities work with self-hosted models for classified or data-sovereign environments.

Which LLMs does VIDIZMO AI Hub support?

VIDIZMO AI Hub  supports multiple LLM providers concurrently, and Azure AI Foundry provides access to 1,200+ models for selection and fine-tuning.

  • Azure OpenAI (GPT-4o)
  • Google Gemini
  • Anthropic Claude
  • Ollama (self-hosted)
  • VLLM (self-hosted)

Can organizations bring their own embedding models?

Yes. Eight embedding providers are supported, with local options for on-premises and air-gapped deployments.

  • Anthropic
  • Google
  • HuggingFace
  • Infinity
  • Ollama
  • OpenAI/Azure OpenAI
  • VLLM API
  • VLLM self-hosted

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How does VIDIZMO AI Hub compare to standalone RAG frameworks like LangChain?

LangChain is a developer framework requiring engineering effort for every deployment. Intelligence Hub is a production-ready platform with no-code workflow design, multi-agent management, built-in content management, security controls, and compliance certifications that LangChain does not include.

How does VIDIZMO AI Hub differ from document AI services like Azure AI Document Intelligence?

Azure AI Document Intelligence focuses on document extraction. Intelligence Hub goes further with multi-modal processing (video, audio, images, documents), agentic RAG chatbots, no-code workflow orchestration, multi-agent architecture, and flexible deployment including on-premises and air-gapped.

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What data sources can VIDIZMO AI Hub connect to?

Existing content repositories, databases, storage systems, Google Drive, Slab, helpdesk platforms (Incident IQ, TeamDynamix), live feeds, batch uploads, API-driven pipelines, and all VIDIZMO products (EnterpriseTube, the Digital Evidence Management System, Redactor). REST APIs extend connectivity to any system.

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