Tallyfy Answers uses background task processing to handle long-running operations without blocking your API requests. This ensures that large batch imports and data processing jobs don’t cause timeouts or performance issues.
What are background tasks?
Background tasks in Tallyfy Answers handle:
Batch Document Imports - Processing large collections of documents for indexing
Data Processing Jobs - Converting and analyzing content for search optimization
Collection Updates - Making bulk changes to existing data
Maintenance Operations - System cleanup and optimization tasks
The batch import endpoint enables efficient indexing of multiple objects into Tallyfy Answers collections through a single API call that processes JSON arrays and provides comprehensive error handling for large-scale data operations.
Tallyfy Answers search combines AI semantic understanding with traditional keyword matching to deliver relevant results through natural language queries and exact term searches with smart filtering and instant results.
Collections in Tallyfy Answers are organizational structures that group similar objects together like database tables and provide features for searching filtering and managing data with automatic schema detection and complete CRUD operations.
Tallyfy Answers combines advanced AI technology with intelligent document understanding to provide instant semantic search that understands meaning beyond just keywords while offering smart document storage hybrid search intelligence content recommendations and batch processing capabilities at a fraction of the cost of traditional search solutions.
Footnotes
Processing time varies: ~5-10 mins per 1000 docs depending on content size and complexity ↩
Typically weekends or 2-6 AM in your org’s primary timezone for optimal performance ↩