Overview
Documents are used as knowledge sources for the LLM. In a Retrieval-Augmented Generation workflow, Fusioni retrieves relevant information from your stored content and combines it with the model’s output to produce more accurate and context-aware responses.
Knowledge for AI responses
Store reusable information that agents and search workflows can reference when answering users.
Searchable document entries
Use names, storage locations, descriptions, and keywords to make documents easier to find and organize.
Ready for next actions
After saving, the document can be reviewed, edited, trained, or deleted from the documents list.
Configuration fields
The Add Document page is organized into a few practical sections. Complete the required fields first, then add optional metadata or images when they help describe the document.
Document name
Enter a clear name or title for the document. This makes the entry easy to identify in the documents list.
Storage location
Select where the document should be saved inside the platform. The storage location controls how the document is organized and accessed later.
Description content
Add the main document content as text. This is the information the platform can use as source material for retrieval and AI responses.
Keywords
Generate keywords automatically from the content with AI, then review them as separate tags for search and categorization.
Images
Optionally attach images when they help enrich or explain the document. Images are not required for a text-only entry.
Procedure
Add the document
Follow this procedure to create a new document, add its content, generate keywords, and save it to the platform.
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Step 1
Open Documents
From the left-side menu, select Documents to open the section where saved document entries are managed.
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Step 2
Create a new document
Choose the option to add a document. This opens the Add Document page.
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Step 3
Enter the document name
In the basic configuration section, add the title or name of the document you want to store.
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Step 4
Choose the storage location
Select the storage location that should contain the document inside the platform.
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Step 5
Add the description content
Move to the Descriptions section and enter the document’s main text in the description field.
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Step 6
Generate keywords
Use the AI keyword generation option to create keywords from the content. Review the generated tags before saving.
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Step 7
Attach images if needed
Use the Images section to optionally add images that support the document. You can skip this step when no image is required.
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Step 8
Review the details
Check the name, storage location, description, keywords, and any attached images before saving.
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Step 9
Click Add
Click Add to save the document. The platform returns to the documents list and displays a confirmation message when the entry is saved successfully.
Use the document in RAG workflows.
After saving, the document appears in the documents list and becomes available for follow-up actions. It can support retrieval, training, and knowledge management depending on how your platform workspace is configured.
Edit
Update the document content, keywords, or metadata when the source information changes.
Train
Use the document as part of the knowledge preparation process for AI retrieval workflows.
Delete
Remove documents that should no longer be available as knowledge sources.