Skip to content

neo4j-field/call-transcripts-automation

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

61 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

This project showcases the ability to construct a business-process aware Knowledge Graph from existing transcripts. Once the business-processes are extracted into a Knowledge Graph, for customer service automation and acceleration.

This is a Python project for constructing a business-process aware knowledge graph for customer service automation and acceleration.

The Knowledge Graph is built using an agentic approach / flow

This is a Next.js project bootstrapped with create-next-app.

Jupyter Notebooks / Students

Under the students folder, several Jupyter notebooks provide a walk-thru of the code

About

Agentic AI Demo for call transcripts automation

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 92.9%
  • Python 3.7%
  • JavaScript 3.4%