customer_support · saas · workflow
MongoDB Chatbot Demo Builder: try RAG with Atlas Vector Search in the MongoDB Search Playground
(not stated)
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · User provides data source
The user selects a data source — PDF upload, copy-pasted text, or sample data provided by MongoDB.
Tools used
MongoDB Search PlaygroundVoyage AI embedding models$vectorSearch
Outcome
(not stated)
Source
https://www.mongodb.com/developer/products/atlas/taking-rag-to-production-documentation-ai-chatbot/
Grounding & classification
Source type: workflow template
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chatbotknowledge searchragknowledge basetools describedworkflow describedsoftwareworkflow templatecustomer supportrag answering