How do we handle schema drift when automatically extracting unstructured invoice data using vision-capable LLMs through the OpenAI API?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do we handle schema drift when automatically extracting unstructured invoice data using vision-capable LLMs through the OpenAI API?
1 real search · 1 real-search pass
OpenAI API Structured Outputs JSON Schema vision image inputs official documentationGoogle ↗
OBSERVED
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 1 queries…
Searches and sources
ChatGPT1 real searches · gpt-6
OpenAI API Structured Outputs JSON Schema vision image inputs official documentation Google ↗
- Structured model outputs · developers.openai.com
- Structured model outputs · developers.openai.com