Knowledge base

Knowledge base is a powerful tool that allows you to curate and manage documents from multiple sources, such as web pages, file uploads, and knowledge bases. Their primary purpose is to enhance your AI Agent, ensuring it delivers accurate and reliable responses to user queries.

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A single knowledge base can be used by multiple AI Agents.

How do knowledge bases work?

For every user message (request), Moveo first attempts to generate a response based on its AI Agent configuration. If the AI Agent returns unknown, Moveo then searches within knowledge bases for relevant answers. It classifies the most relevant articles related to the user's query, identifies the specific sections containing the answer, and generates a response using its Generative AI / LLM capabilities.

Creating a knowledge base

To create a knowledge base:

1. Navigate to Build → Knowledge base in the top navigation bar.
2. Click the + Create button.
3. Enter a name for your new knowledge base and select its language.
4. Click the Create button.

Your new knowledge base will now appear in the Knowledge base list.

Connecting a knowledge base

You can connect a knowledge base to your AI agent using one of the following methods:

From knowledge base details

To access the Additional Info sidebar for a knowledge base, click the "Info" icon (usually found below the header). This sidebar is where you'll connect AI Agents to your knowledge base.

To connect AI Agents, simply use the select dropdown menu within this sidebar.

AI Agent Knowledge

It is also possible to connect a knowledge base to an AI Agent from the AI Agent's Knowledge tab. To do this, check this guide.

Fragments

Fragments are small chunks of text, typically around 400 words, extracted from the provided content. These segments enable the AI to efficiently analyze and interact with the information.

Each fragment consists of approximately 400 words. For reference, 2,500 fragments correspond to roughly 250–300 pages of content.

Adding live instructions

You can enhance AI Agent responses by dynamically providing real-time user data through the live_instructions context variable. This allows the AI to incorporate live details, such as transaction history, user preferences, or other relevant information.

One way to achieve this is by creating a webhook that fetches the necessary user data from your system and formats it into live instructions. You can then connect this webhook to your AI Agent. See this guide for more information.

Guidelines and best practices

For optimal performance, follow our best practices guide.