Build an Agent Around Your Business Information.
Add relevant sources, wait for indexing, then test what the Agent can answer. Start with a small, checked knowledge base and expand it as you learn.
No credit card required · Free forever plan · 5-minute setup
Docs
Business information
Tables
CSV and XLSX
Sync
Database sources
Test
Known and missing answers
Your Agent needs the facts your customers ask about.
Policies, prices and product details change. A useful knowledge base needs clear sources, visible processing status and repeatable checks.
Why teams choose LoopReply for AI Training
CSV and XLSX Sources
Upload a structured spreadsheet and wait for processing. Check sheet selection, column names, identifiers and units before testing questions.
Complete Dataset Queries
Supported indexed spreadsheet and database datasets can be filtered, sorted, counted and aggregated over their complete saved rows. Incomplete coverage is rejected rather than treated as an exact total.
Mixed-Unit Checks
Numeric aggregates reject mixed currencies or units. Filter or group the data by its unit before requesting a total.
Document Retrieval
Connect business documents and web content for relevant context. Retrieval helps ground answers, but it is not a guarantee of accuracy.
AI Training in 5 simple steps
Choose a Narrow Scope
Start with one task, such as product questions or setup help. Identify the sources that actually contain the answers.
Prepare and Connect Data
Add the relevant documents, spreadsheets, website content or supported database source.
Check Processing
Confirm the source is ready. Resolve errors and incomplete data before relying on answers.
Test Supported and Missing Questions
Verify expected answers and what the Agent says when a record is absent or information is unclear.
Update and Retest
Sync or reprocess changed sources as needed. Knowledge updates are live settings, so check their effect promptly.
What to check before you choose
| Feature | LoopReply | What to verify |
|---|---|---|
| Purpose | Business-specific context | Identify which sources support each answer |
| Spreadsheet questions | Supported indexed dataset queries | Test full-row coverage and units |
| Publication | Knowledge updates are live | Check which other fields use drafts |
| Evaluation | Repeatable source checks | Use your own reference answers |
Connecting data supplies context for retrieval. It does not train a new foundation model or guarantee that every generated answer will be correct.
Who uses AI Training?
Online Stores
Start with a checked product list, shipping information and return policy.
Software Teams
Use setup documentation and troubleshooting articles that match the current product.
Service Businesses
Answer questions about service scope, opening hours and how to contact the team.
Common questions about AI Training
Yes. LoopReply supports CSV and XLSX sources and supported database connections. Check that the dataset has finished processing and contains the rows and columns you need.
Supported indexed datasets can be filtered, sorted, counted and aggregated over their complete saved rows. A source with incomplete row coverage must be reprocessed or synced before an exact result can be returned.
A numeric aggregate rejects mixed currencies or units. Filter or group the records by currency or unit before calculating the total.
No. File attachment and successful indexing are separate steps. The source must finish processing before its content can be used.
Connecting a knowledge source indexes content for retrieval. That is different from fine-tuning a foundation model on your data.
Set it up with these guides
- How to Train an AI Chatbot on Your Own Data
Connect documents, CSV and XLSX files, websites, or PostgreSQL and MySQL data to a LoopReply Agent. Check processing, exact answers, and freshness.
- Four Checks Before Your AI Agent Answers from a Spreadsheet
Check row counts, totals, product codes, and fresh results before relying on AI answers from a spreadsheet.
Ready to get started?
Try AI Training free. No credit card required.
Free plan includes 1 AI Agent, 500 messages per month, visual workflow builder, and knowledge base. Pro starts at $49/month.