Knowledge extraction is the automated pipeline that turns menus, policies, hours, and FAQs from a venue's raw documents into structured embedded chunks ready for agent recall.
What is Knowledge Extraction?
Quick answer
Knowledge extraction is the automated pipeline that turns menus, policies, hours, and FAQs from a venue's raw documents into structured embedded chunks ready for agent recall.
Full definition
The pipeline walks uploaded files and optionally scrapes the venue website through Firecrawl, extracts plain text, splits it on paragraph and heading boundaries with a 200-character overlap, and writes the chunks to VenueChunk with their embeddings. A final pass heuristically tags chunks by type (menu, policy, hours, faq) so the venue agent can bias retrieval per question.
FAQ
Knowledge Extraction FAQ.
Common questions about Knowledge Extraction in the AGNT platform.
Knowledge extraction is the automated pipeline that turns menus, policies, hours, and FAQs from a venue's raw documents into structured embedded chunks ready for agent recall.
People also ask.
Share as social post
What is Knowledge Extraction? Knowledge extraction is the automated pipeline that turns menus, policies, hours, and FAQs from a venue's raw documents into structured embedded chunks ready for agent recall. https://agntdot.com/glossary/knowledge-extraction
256 / 280 chars
See it in action.
Now you know what Knowledge Extraction means. Try the live scan demo or read the developer docs to go deeper.