Goal is too broad.
“Let’s build an AI that answers all customer questions”
Assuming AI can fix bad content and bad data
“The AI will clean it up as it learns”
Full-text search + embeddings = “semantic”
“We don’t need taxonomies or ontologies. The LLM will find the connections automatically”
Vector databases = understanding
“Embedding the content captures its meaning, so we don’t need metadata or structure.”
Ignoring governance (until something goes wrong)
“We don’t want to slow things down with policies or review boards.”
Trying to corral chaos
“You're making me deal with questions I'd rather avoid.”
