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Case Study · Technology

AI Chatbot for OverIP

An AI chatbot built with Python and Flask, using BERT language understanding and a Pinecone vector database.

Client
OverIP
Industry
Technology
Services
AI Chatbots
Platforms
Web

Overview

OverIP engaged DTS to develop an AI chatbot that understands natural-language questions and responds with relevant answers.

The Challenge

Keyword matching alone can’t understand how real people ask questions — the bot needed to understand meaning and find the most relevant information.

Our Solution

DTS developed the chatbot in Python with a Flask API, using BERT for natural-language understanding and Pinecone as a vector database for semantic search.

Key Features

  • Natural-language understanding with BERT
  • Semantic search with a Pinecone vector database
  • Flask-based API for easy integration


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