Knowledge

Documents, website pages and FAQs are split into passages, embedded and stored in a vector database. Agents with a knowledge base attached (Agent settings) look things up before answering.
Knowledge baseVector databaseEmbeddingsDocumentsPassagesAgents

Vector databases

NameTypeTargetKnowledge bases
Built-inBuilt-in (pgvector)This app's Postgres, one table per knowledge base