AI Features Overview
Querlo Studio empowers you to build state-of-the-art conversational experiences by leveraging the latest advancements in Large Language Models (LLMs). By moving beyond fixed decision trees and into generative intelligence, your chatbots can understand complex intent, process vast amounts of unstructured data, and respond with human-like precision.
To create a fully functional AI-powered chat within the Studio, there are three essential pillars you need to configure:
1. AI Integration Setup
The foundation of every AI feature is the connection between Querlo Studio and an LLM provider (such as Azure OpenAI).
- Automatic Provisioning: To get you started immediately, your first AI Integration is automatically created for you upon account creation.
- Customization: You can add additional integrations later to explore different providers or specific model deployments.
2. Knowledge Bases
An LLM is only as good as the information it has access to. Knowledge Bases allow you to "ground" the AI in your specific business data.
- By uploading PDFs, text files, or importing URLs, you create a private library of information that the AI can query in real-time.
- This ensures that the bot's answers are accurate, relevant, and based exclusively on the facts you provide.
3. AI Pure Generation Node
The Pure Generation node (Promptless Generative AI) is the logic engine that brings your AI chat to life.
- It serves as the bridge between the user's input, your Knowledge Base, and the LLM.
- Within this node, you define how the AI should behave, which variables it should track, and how it should use the provided knowledge to solve the user's request.
By mastering these three elements, you can transform a standard chatbot into a sophisticated AI agent capable of handling everything from automated customer support to complex data analysis.