About VIDIZMO Agentic AI
VIDIZMO Agentic AI lets you build intelligent agents that automate interactions with your content. Using a low-code or no-code interface, you can design workflows, configure agents, and deploy AI-powered Chatbot.
Agentic AI transforms your video libraries, documents, and media assets into interactive, content-aware experiences accessible through natural language conversations.
At its core, Agentic AI uses a graph-based workflow engine to provide structured, context-aware responses behind a simple chatbot interface.
Key Components
VIDIZMO Agentic AI consists of three main components:
| Component | Description |
|---|---|
| Workflow | Defines the logic for content retrieval, processing, transformation, and response generation through a visual, node-based editor. |
| Agent | Connects a workflow to the chatbot interface, managing system prompts, knowledge base criteria, branding, suggested prompts, and conversation settings. |
| Chatbot | The user-facing interface that accepts natural-language input and displays responses generated by the agent's workflow. |
Architecture Overview
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Query Handling Flow:
- User submits a question via the chatbot (custom or quick prompt).
- The active agent receives the request and applies its configuration.
- The workflow processes the query:
- Executes nodes in the defined sequence
- Routes through conditional paths based on configured logic (IF, Switch nodes)
- Optionally classifies intent if designed with LLM-based routing
- Handles long content by chunking if necessary
- Optionally calls external loaders or services
- Aggregates or processes results into a structured response
- The chatbot displays the final response.
Workflow
The workflow is the system’s “brain.” It defines step-by-step flows that determine how queries are processed and answered.
Key features:
- Conditional routing through IF and Switch nodes, with optional SubGraph nodes for modular workflow composition
- Long-content management via chunking
- Automation of repetitive tasks
- Full transparency of nodes, transformations, and outputs
Agent Management
Agents in VIDIZMO are designed to carry out tasks ranging from simple requests to complex, multi-step workflows.Through the VIDIZMO portal, you can create and configure agents. Each agent ties a workflow to a chatbot interface and can be tailored for specific audiences or use cases.
Each agent connects to exactly one workflow. Multiple agents can connect to the same workflow while maintaining different system prompts, branding, and knowledge base configurations.
Use Cases
With VIDIZMO Agentic AI, you can build:
- Chatbots: Answer user questions by retrieving and summarizing content (videos, documents, transcripts).
- Automated agents: Perform tasks such as support, training, onboarding, compliance, or content discovery.
- Content-driven knowledge tools: Enable users to explore, query, and navigate large media/document repositories using natural language.
The low-code visual interface allows both technical and non-technical teams to build and maintain agents.
Problems Solved
VIDIZMO Agentic AI addresses common challenges with LLM-based content automation:
-
Limited Context Length
Large models cannot process unlimited context. The Text splitter node splits long content into manageable segments, and workflows can consolidate results to maintain coherent responses across large documents. -
Repetitive Multi-Step Tasks
Complex user requests often require multiple processing steps. Visual workflows automate these tasks, improving efficiency and reliability. -
Lack of Transparency
Many AI systems operate as black boxes. With explicit, visible workflows, every step is traceable, enabling debugging, compliance, and trust.
Why Choose VIDIZMO Agentic AI
- Rapid development and deployment: Build agents in hours, not weeks.
- Low-code flexibility: Drag-and-drop editor reduces coding requirements.
- Predictable behavior: Each agent-workflow combination ensures consistent responses.
- Content-centric automation: Utilize existing media, documents, transcripts, and external data sources.
- Transparency and traceability: Every node and transformation is visible and auditable.
- Adaptable for multiple use cases: Supports support, training, compliance, and content discovery workflows.
Summary
VIDIZMO Agentic AI converts videos, documents, and media into interactive, AI-powered experiences. By combining a visual workflow designer, configurable agents, and a natural-language chatbot interface, it enables teams to build flexible, reliable automation and knowledge tools with minimal coding.
It overcomes common LLM challenges, including context limits, repetitive tasks, and opaque decision-making, providing a scalable, transparent, and customizable AI solution.