Connect internal and external sources: PDFs, Confluence, Jira, Notion, websites, and more.
Process data into semantic vectors stored in Vespa’s scalable vector database.
Users search with natural language.
The system understands intent, context, and nuance.
Get comprehensive, conversational answers—drawn from multiple sources—via LLM integration.