Launch Pad

raia Launch Pad – Core Functionality Overview

The raia Launch Pad is the central control hub for building, managing, and monitoring your AI ecosystem. It gives you the tools to design intelligent agents, organize knowledge, extend capabilities, and track performance—all in one unified interface.


1. Build & Manage AI Agents

  • Create new agents from scratch or clone existing ones.

  • Define agent personalities, skills, and behaviors.

  • Connect agents to vector stores for instant access to curated knowledge.

  • Assign training data from raia Academy or external sources.


2. Create & Deploy Knowledge Packs

  • Build Packs—collections of related documents, datasets, or AI-ready content.

  • Assign packs to specific agents to scope their expertise.

  • Update or remove packs to keep knowledge fresh and relevant.


3. Build & Integrate Custom Functions

  • Create Functions that extend agent capabilities:

    • Data lookups

    • API calls

    • Automation workflows

  • Link functions to specific triggers or agent commands.


4. Monitor Conversations & Interactions

  • View real-time and historical conversations between agents and users.

  • Track engagement metrics, user queries, and response quality.

  • Identify trends, gaps, or recurring issues in agent performance.


5. Access Detailed Logs

  • Inspect system logs for each agent to troubleshoot behavior.

  • Review function execution logs to monitor custom workflows.

  • Track knowledge retrieval activity to understand how agents use their vector stores.


6. Manage Users & Permissions

  • View active users interacting with agents.

  • Manage roles and access permissions for team members.

  • Control who can create, edit, or deploy agents, packs, and functions.


Why Launch Pad is Essential

The Launch Pad unifies agent creation, knowledge management, function development, monitoring, and governance into a single platform. This makes it possible to:

  • Rapidly deploy new AI capabilities.

  • Maintain control and compliance over your AI ecosystem.

  • Continuously optimize performance based on real user interactions.


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