AssistLoop.ai Data Sources

AssistLoop.ai provides four simple ways to add your knowledge and train your AI agent. Each data source type is designed to be quick and easy to use, allowing you to build a comprehensive knowledge base in minutes.

Upload a File

Upload documents like PDF, DOCX, or TXT files.

Supported File Types

• PDF Documents: Research papers, manuals, reports, whitepapers
• Word Documents (.docx): Policies, procedures, training materials, documentation
• Text Files (.txt): Articles, notes, transcripts, plain text content

How It Works

1. Click "Upload a File" from the data source options
2. Select one or multiple files from your device
3. AssistLoop.ai automatically processes and extracts text content
4. Your AI agent learns from the uploaded documents instantly

Best Use Cases

• Company policies and procedures
• Product documentation and manuals
• Research papers and technical reports
• Training materials and guides

Add a Website/Link

We'll scan your site and train your agent based on its content.

Website Types

• Company Websites: About pages, product information, company policies
• Documentation Sites: Help centers, knowledge bases, API documentation
• Blog Platforms: Medium, WordPress, custom blog content
• Support Portals: FAQ pages, troubleshooting guides, user manuals

How It Works

1. Select "Add a Website/Link" option
2. Enter the URL of the website you want to train from
3. AssistLoop.ai automatically crawls and extracts relevant content
4. Your AI agent learns from the website's information

Best Use Cases

• Public company websites
• Documentation and help centers
• Blog content and articles
• Public knowledge bases

Enter Raw Text

Paste plain text to instantly train your AI agent.

Text Content Types

• Articles & Blog Posts: Long-form content copied from any source
• Meeting Notes: Transcribed conversations and meeting summaries
• Code Documentation: Technical specifications and inline documentation
• Research Notes: Field notes, observations, and findings

How It Works

1. Choose "Enter Raw Text" option
2. Paste or type your content directly into the text area
3. Click to process and add to your knowledge base
4. Your AI agent immediately learns from the pasted text

Best Use Cases

• Quick additions of specific information
• Meeting notes and transcripts
• Code documentation and comments
• Research findings and observations

Question & Answer

Provide Q&A pairs to create a structured knowledge source.

QA Content Types

• Customer Support FAQs: Common questions and detailed answers
• Product Documentation: How-to guides with step-by-step solutions
• Troubleshooting: Problem-solution pairs for technical issues
• Knowledge Base Articles: Comprehensive Q&A content

How It Works

1. Select "Question & Answer" option
2. Enter your question and provide the corresponding answer
3. Add multiple Q&A pairs as needed
4. Your AI agent learns the structured question-answer relationships

Best Use Cases

• Customer support knowledge bases
• Product troubleshooting guides
• Training and onboarding materials
• Frequently asked questions

Getting Started with Data Sources

Step 1: Choose Your Data Source

Select the most appropriate option based on your content type:

• Files: For existing documents and materials
• Website: For public online content
• Raw Text: For quick text additions
• Q&A: For structured question-answer content

Step 2: Add Your Content

Follow the simple interface prompts to upload, link, paste, or enter your knowledge.

Step 3: Train Your AI

AssistLoop.ai automatically processes your content and trains your AI agent.

Step 4: Test and Deploy

Your AI agent is ready to answer questions based on your knowledge base.

Data Source Management

Viewing Your Sources

• Access all data sources from your AssistLoop.ai dashboard
• See processing status and content summaries
• Monitor how much knowledge each source contributes

Updating Content

• Re-upload files to refresh document content
• Re-scan websites to capture updated information
• Edit raw text and Q&A pairs directly
• Remove outdated or incorrect sources

Content Organization

• Group related data sources together
• Tag sources for easy identification
• Set source priorities for better AI responses