customer_support · workflow
Large Language Models and Where to Use Them: Part 2 — Search, Cluster, and Classify (Cohere Blog)
The volume of unstructured text data being generated is too large for humans to process without NLP-powered automation.
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 · Text embedding generation
The model generates a set of numbers that represent the meaning or context of the input text, called text embeddings.
Tools used
EmbedClassify
Outcome
(not stated)
Grounding & classification
Source type: listicle or blog summary
13 fields verified against source quotes.
document classificationenterprise searchsentiment analysisknowledge basesupport tickettools describedworkflow describedlisticle or blog summarycustomer supportecommerce opsextract classify routerag answering