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Building a Chatbot on-premise and deploy on-premise with data security
 
 

First of all any chatbot is going to be the program that runs along with the NLP, Its the NLP that brings the knowledge to the chatbot. NLP lies on the hands of the Machine learning techniques.

There are few reasons why the on premise chatbots are less.

1. We need to build the infrastructure

2. We need to train the model often

But using the cloud based NLP may not provide the data privacy and security and also the flexibility of including my business logic is very less.All together going to the on premise or on cloud is based on the needs and the use case of the requirements.

How ever please refer this link for end to end knowledge on building the chatbot on premise with very few steps and easily and fully customisable and with all open stack frameworks and tools (Botkit, RASA etc) that I have built.

Complete On-Premise and Fully Customisable Chat Bot - Part 1 - Overview

Complete On-Premise and Fully Customisable Chat Bot - Part 2 - Agent Building Using Botkit

Complete On-Premise and Fully Customisable Chat Bot - Part 3 - Communicating to the Agent that has been built

Complete On-Premise and Fully Customisable Chat Bot - Part 4 - Integrating the Natural Language Processor NLP

 

 
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Great tutorial!

One hint:
python -m spacy download en_core_web_md
->  /Users/bp/anaconda3/bin/python: No module named spacy

 

 
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