5 capabilities to evaluate in AI agent platforms.
Systems that automatically discover, crawl, and index publicly available information sources.
Look for web crawling capabilities, RSS feed ingestion, public API integrations, or automated content discovery. Must be ongoing, not one-time imports.
Direct integrations that automatically sync content from private knowledge management systems.
Must have native integrations (not just manual uploads) with popular enterprise tools. Should handle permissions and access controls.
Advanced retrieval-augmented generation with intelligent chunking, embedding optimization, and relevance scoring.
Look for advanced RAG features like semantic chunking, hybrid search, relevance tuning, or retrieval optimization. Must be more sophisticated than basic vector search.
Ability to query live data sources during conversations, not just pre-indexed static content.
Must demonstrate live API calls, database queries, or web scraping during agent interactions. Should handle authentication and rate limiting.
Automated systems that refresh and update the agent's knowledge (from internal & external sources like website & docs) without manual intervention.
Look for scheduled updates, webhook-based updates, or real-time syncing with data sources. Must handle changes automatically.
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