Open conversational ai framework for building contextual chatbots and ai assistants

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This document discusses an open conversational AI framework called RASA for building contextual chatbots and AI assistants. It provides an overview of RASA's architecture and components including natural language understanding, core components for dialog management, integrating with external APIs, and demonstrations of building a restaurant chatbot and integrating with Slack. RASA allows developers to build and manage complete chatbots in-house using customizable machine learning and natural language processing solutions.

Copyright © 2019 HCL Technologies Limited | www.hcltech.com
OPEN CONVERSATIONAL AI FRAMEWORK FOR BUILDING CONTEXTUAL CHATBOTS AND
AI ASSISTANTS.
BY - PRASANNA VENKATESH JAYAPRAKASH (PRASANNAVJ@HCL.COM)

2 Copyright © 2019 HCL Technologies Limited | www.hcltech.com
AGENDA
Conversational AI Framework for building contextual chatbots and AI assistants.
 Understanding Chatbot Architecture
 Introduction to Current Chatbot Platforms and Industry Problem
 Introduction to RASA Framework
 introduction to RASA Chatbot Architecture
 Natural Language understanding - Components
 CORE Components and Structure.
 Core - Stories and Dialog management
 Integrating with External API
 Demonstration using Restaurant Details capture details.
 Demonstration integrating with Slack Messaging Platform.

3 Copyright © 2019 HCL Technologies Limited | www.hcltech.com
CHATBOT ARCHITECTURE

4 Copyright © 2019 HCL Technologies Limited | www.hcltech.com
INTRODUCTION TO CURRENT CHATBOT PLATFORMS AND INDUSTRY PROBLEM
 Google dialogFlow
 IBM
 Microsoft
 Amazon
 Facebook
 Industry problem:
 To Implement the solution no inhouse platform.
 All depend on cloud based learning solution – when enterprise plan to integrate might face problem due to the security and privacy concern of the
providers.
 Old rule based providers are phasing out
 Solution:
 Open Source conversational platform enable building and managing the complete chatbot inhouse – one such platform is RASA.

5 Copyright © 2019 HCL Technologies Limited | www.hcltech.com
INTRODUCTION TO RASA FRAMEWORK
 Utilizes customizable ML and NLP solution to enable developers to control how and what they wanted to achieve part of the conversation.
 Provide option to integrate with external API services, External databases etc.
 Provide option to integrate with various prominent chatting/Messaging solution i.e: - Slack, faceBook messenger etc.
 Provide both Open Source (RASA Stack) and Commercial Offering (RASA Platform)

6 Copyright © 2019 HCL Technologies Limited | www.hcltech.com
INTRODUCTION TO RASA CHATBOT ARCHITECTURE

7 Copyright © 2019 HCL Technologies Limited | www.hcltech.com
NATURAL LANGUAGE UNDERSTANDING - COMPONENTS
Creating using
 Entity
 Intents
 Using RASA NLU Trainer

8 Copyright © 2019 HCL Technologies Limited | www.hcltech.com
RASA CORE COMPONENTS AND STRUCTURE - DIALOG MANAGEMENT
 Entity
 Intents
 Slots
 Templates
 Actions
 Buttons

9 Copyright © 2019 HCL Technologies Limited | www.hcltech.com
ENTITY
- Entity allows us to
define the list of items that
Need to be recognized by
Chatbot while conversing

10 Copyright © 2019 HCL Technologies Limited | www.hcltech.com
INTENTS
- Intent of the person
Interacting with the chatbot

11 Copyright © 2019 HCL Technologies Limited | www.hcltech.com
SLOTS
- Recognized by chatbot and
filled by the bot for further
processing.

12 Copyright © 2019 HCL Technologies Limited | www.hcltech.com
ACTIONS
- Action to be carried out by
Chatbot on specific input
- Searching for restaurant
- Connecting with back end
Db etc.

13 Copyright © 2019 HCL Technologies Limited | www.hcltech.com
TEMPLATES
- Possible options for display
To the used based on the
Specific intent

14 Copyright © 2019 HCL Technologies Limited | www.hcltech.com
DIALOG MANAGEMENT MODULE - STORIES
 Stories
- Potential option for
conversation flow is detailed
In the conversation.

15 Copyright © 2019 HCL Technologies Limited | www.hcltech.com
CONVERSATION EXAMPLE - DEMO
 Demo of solution:
 Video Link: https://www.youtube.com/watch?v=qi0o3jwMjvo&t=26s
 Live demo will be conducted during the presentation session.
 Starting from setting up the NLU
 Setting up core
 Integrating with Zomato API
 Integrating with SLACK

16 Copyright © 2019 HCL Technologies Limited | www.hcltech.com
THANK YOU
PRASANNA VENKATESH JAYAPRAKASH
PRASANNAVJ@HCL.COM
LINKEDIN – HTTPS://WWW.LINKEDIN.COM/IN/PRASANNA-VENKATESH-JAYAPRAKASH-454133A/
TWITTER - @PRASANNA_VRI

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Open conversational ai framework for building contextual chatbots and ai assistants

1. Copyright © 2019 HCL Technologies Limited | www.hcltech.com OPEN CONVERSATIONAL AI FRAMEWORK FOR BUILDING CONTEXTUAL CHATBOTS AND AI ASSISTANTS. BY - PRASANNA VENKATESH JAYAPRAKASH (PRASANNAVJ@HCL.COM)

2. 2 Copyright © 2019 HCL Technologies Limited | www.hcltech.com AGENDA Conversational AI Framework for building contextual chatbots and AI assistants.  Understanding Chatbot Architecture  Introduction to Current Chatbot Platforms and Industry Problem  Introduction to RASA Framework  introduction to RASA Chatbot Architecture  Natural Language understanding - Components  CORE Components and Structure.  Core - Stories and Dialog management  Integrating with External API  Demonstration using Restaurant Details capture details.  Demonstration integrating with Slack Messaging Platform.

4. 4 Copyright © 2019 HCL Technologies Limited | www.hcltech.com INTRODUCTION TO CURRENT CHATBOT PLATFORMS AND INDUSTRY PROBLEM  Google dialogFlow  IBM  Microsoft  Amazon  Facebook  Industry problem:  To Implement the solution no inhouse platform.  All depend on cloud based learning solution – when enterprise plan to integrate might face problem due to the security and privacy concern of the providers.  Old rule based providers are phasing out  Solution:  Open Source conversational platform enable building and managing the complete chatbot inhouse – one such platform is RASA.

5. 5 Copyright © 2019 HCL Technologies Limited | www.hcltech.com INTRODUCTION TO RASA FRAMEWORK  Utilizes customizable ML and NLP solution to enable developers to control how and what they wanted to achieve part of the conversation.  Provide option to integrate with external API services, External databases etc.  Provide option to integrate with various prominent chatting/Messaging solution i.e: - Slack, faceBook messenger etc.  Provide both Open Source (RASA Stack) and Commercial Offering (RASA Platform)

15. 15 Copyright © 2019 HCL Technologies Limited | www.hcltech.com CONVERSATION EXAMPLE - DEMO  Demo of solution:  Video Link: https://www.youtube.com/watch?v=qi0o3jwMjvo&t=26s  Live demo will be conducted during the presentation session.  Starting from setting up the NLU  Setting up core  Integrating with Zomato API  Integrating with SLACK

16. 16 Copyright © 2019 HCL Technologies Limited | www.hcltech.com THANK YOU PRASANNA VENKATESH JAYAPRAKASH PRASANNAVJ@HCL.COM LINKEDIN – HTTPS://WWW.LINKEDIN.COM/IN/PRASANNA-VENKATESH-JAYAPRAKASH-454133A/ TWITTER - @PRASANNA_VRI

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