Home / Companies / Couchbase / Blog / Post Details
Content Deep Dive

Part 2 – AI in Action: Enhancing and Not Replacing Jobs

Blog post from Couchbase

Post Details
Company
Date Published
Author
Ben Greenberg, Senior Developer Evangelist
Word Count
2,960
Company Posts That Month
17
Language
English
Hacker News Points
-
Post removed?
No
Summary

The application aims to empower customer service agents with AI-powered support by leveraging vector search, natural language processing, and machine learning. The application consists of three main models: Ticket, User, and Agent, which are defined using Couchbase ORM and Ruby on Rails. The Ticket model has attributes for query, status, summary, embedding, created_at, and updated_at, while the User model has attributes for whatsapp_number, name, created_at, and updated_at. The Agent model is similar to the User model but without a whatsapp_number attribute. The application also includes a Messages Controller that handles incoming messages from WhatsApp users, creates new tickets and users as needed, and updates ticket status using OpenAI's text embedding API. The application can be run by executing `bin/dev` in the terminal, and it is available for testing on GitHub.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Vector Search 24 4,605 291 90 +25%
Use This Data

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.