Getting Started with Elaniin AI
Welcome to the Elaniin AI platform! This guide will introduce you to the core concepts and help you navigate the platform to start building your first AI application.
What is Elaniin AI?
Elaniin AI is a no-code platform designed to help you create, manage, and deploy a wide range of AI-powered solutions. Whether you need a customer service chatbot, an internal data analysis tool, or a smart API for your application, our platform provides the tools to build it without needing to write any code.
Core Concepts
Before you begin, it's helpful to understand the main building blocks of the platform.
| Concept | Description |
|---|---|
| Team | The central workspace where all your resources, members, and billing information are managed. |
| Agent | A conversational AI (chatbot) designed to interact with users in natural language. |
| Smart Endpoint | An AI-powered API that processes input and returns structured JSON data. |
| Topic | A predefined, structured conversational flow that an Agent can follow to complete a specific task. |
| Action | An HTTP request to an external service, which can be triggered within a Topic. |
| Knowledge Base | A collection of documents that your AI can use to answer questions. |
| DataSphere | An AI agent that connects directly to your BigQuery data for natural language querying and analysis. |
Platform Modules at a Glance
The platform is organized into three main modules, each serving a different purpose.
SenseFlow
SenseFlow is the central hub for building conversational AI. Here, you will create and manage your Agents, define their conversational logic with Topics and Actions, and build powerful backend functions with Smart Endpoints.
Document AI
Document AI is your knowledge management center. Use it to create Knowledge Bases by uploading documents (.pdf, .txt, .md, etc.). Your SenseFlow Agents can then use this information to provide accurate, context-aware answers.
DataSphere
DataSphere transforms how you interact with your data. Connect it to your Google BigQuery warehouse to create a Sphere, an AI agent that can answer questions and generate visualizations from your data using simple, natural language queries.
Your First Steps
Ready to start building? Here’s where to go next:
- To build your first chatbot:
- Head to the Agents documentation.
- To analyze data from a BigQuery database:
- Follow the setup guide in the DataSphere documentation.
- To understand costs and manage your subscription:
- Read our detailed guide on Billing.
- To invite your team and manage access:
- See the Members & Teams documentation.