Creating a Knowledge Base

Creating a Knowledge Base in Zaia Endless is a straightforward process. Each base can hold multiple items and serve as a reusable knowledge layer for different Agents or Squads.


๐Ÿช„ Step 1 โ€” Open the Knowledge Module

  1. Navigate to Builder โ†’ Agents โ†’ [Select your Agent] โ†’ Knowledge

  2. Click New Knowledge Base + in the top-right corner.


๐Ÿง  Step 2 โ€” Define the Base

In the Add Knowledge Base window:

  • Name: Choose a clear and descriptive title (e.g. Support FAQs, Internal Docs, Sales Playbook).

  • Description (optional): Add internal notes for organization or context.

Click Create Knowledge Base to finalize.

Your new base will now appear in the list.


๐Ÿ“š Step 3 โ€” Add Items

Each Knowledge Base can contain multiple items, which are the actual content sources.

Click Add Item +, then select one of the following:

๐Ÿ“ Text

  • Ideal for FAQs, structured guides, or internal definitions.

  • Paste up to 1,000,000 characters of content.

  • Click Update to save and start training.

๐Ÿ“„ PDF

  • Upload a .pdf file from your computer.

  • The platform will automatically extract, process, and index the text content.

  • Click Add to confirm.


๐Ÿ”„ Step 4 โ€” Training & Status

After adding content, the system automatically begins training โ€” converting text into vector embeddings for retrieval.

Status
Description

Pending

Waiting to start training.

Processing

Data is being analyzed and embedded.

Completed

Training finished successfully.

Failed

An issue occurred; edit or retry the item.

You can hover over the Status indicator to view detailed information.


๐Ÿงฉ Step 5 โ€” Update or Manage

At any time:

  • Click the Edit (โœ๏ธ) button to rename or update the base description.

  • Click the โ‹ฎ menu beside an item to edit, delete, or retrain it.

  • Adding new items will automatically trigger training again.


๐Ÿ’ก Tip

Keep content concise, clean, and well-structured. Use consistent headings and avoid redundant data to improve embedding quality and retrieval precision.

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