Workflow · Production
Driving Enterprise Transformation With Generative AI
The problem
(not stated)
Workflow diagram · grounded in source
1
User query submitted
trigger
“a smart way for a language model to generate better responses. It does this by first looking up relevant information from a big database based on the question or context you give it”
2
Retrieve relevant information
ai_action
“first looking up relevant information from a big database based on the question or context you give it”
3
Generate grounded response
output
“it uses this information along with its own knowledge to more accurately answer questions”
Reported outcome
(not stated)
Reported metrics
large-company AI decision makers exploring or experimenting with Generative AI83%
Reported stack
ChatGPTBingGeminiRAGDataikuHugging FaceAWSGCPMicrosoft Azure
Frequently asked questions
What did this team achieve with this AI workflow?
(not stated)
What tools did this team use?
ChatGPT, Bing, Gemini, RAG, Dataiku, Hugging Face, AWS, GCP, Microsoft Azure.
What results were reported?
large-company AI decision makers exploring or experimenting with Generative AI: 83% (source-reported, not independently verified).
How is this workflow AI workflow structured?
User query submitted → Retrieve relevant information → Generate grounded response.