our chat support is getting overwhelmed so how do we start building a custom internal chatbot to answer basic hr questions for our fifty employees
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
our chat support is getting overwhelmed so how do we start building a custom internal chatbot to answer basic hr questions for our fifty employees
3 real searches · 1 real-search pass
NIST AI Risk Management Framework generative AI profile privacy human oversight chatbot official guidanceGoogle ↗
OBSERVED
Microsoft Copilot Studio knowledge sources authentication analytics official documentationGoogle ↗
OBSERVED
OpenAI API file search vector stores data privacy business 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 3 queries…
Searches and sources
ChatGPT3 real searches · gpt-6
NIST AI Risk Management Framework generative AI profile privacy human oversight chatbot official guidance Google ↗
Microsoft Copilot Studio knowledge sources authentication analytics official documentation Google ↗
OpenAI API file search vector stores data privacy business official documentation Google ↗
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
NIST AI Risk Management Framework generative AI profile privacy human oversight chatbot official guidance OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Microsoft Copilot Studio knowledge sources authentication analytics official documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
OpenAI API file search vector stores data privacy business official documentation OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |