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7 books on Chatbots [PDF]
July 25, 2025 | 25 |
Initially, chatbots worked like old answering machines. Businesses considered them merely as text-IVR redirecting users from one operator to another. The first breakthrough occurred with the appearance of "push-button bot interface" in messengers, which became the de facto standard for text-based bots. The second breakthrough was the development of speech-to-text systems, which made it possible to interact with systems using voice commands. The third breakthrough has happened thanks to AI-revolution, when bots became more "human" and got the honorable title "assistant".
The first chatbot prototypes were developed primarily for B2C interactions, i.e., as an first-level "answering machine" for potential clients. This type of interaction proved ineffective in the competitive environment for potential service customers and was virtually forgotten until the invention of GPT. The development of this approach resulted in widespread adoption of the B2B segment - using chatbots for internal support. Instead of serving external interests, text bots began to process internal requests, such as sending news or providing quick access to requested information.
These books describe the principles of natural language processing, conversational design and user experience, used for creating effective and engaging chatbots.
1. Chatbots - How to know everything
2023 by Max Editorial
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2. The Definitive Guide to Conversational AI with Dialogflow and Google Cloud: Build Advanced Enterprise Chatbots, Voice, and Telephony Agents on Google Cloud
2021 by Lee Boonstra
Google's Dialogflow can be used to build cross-channel chatbots for web, social media and telephony while other Google Cloud tools like BigQuery and Chatbase are used for chatbot analytics and optimization. Dialogflow SDK and Google Cloud APIs can be used to build highly customizable voice platforms and chatbots that operate across different languages. But context management, intents and entities are critical in designing advanced conversational agents.
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3. AI-Powered Chatbots: Enhancing Customer Service and Sales
2021 by Mayfair Digital Agency
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4. Developing Enterprise Chatbots: Learning Linguistic Structures
2019 by Boris Galitsky
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5. Getting Started with Chatbots: Learn and create your own chatbot with deep understanding of Artificial Intelligence and Machine Learning
2019 by Akhil Mittal
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6. Deep Learning for Natural Language Processing: Creating Neural Networks with Python
2018 by Palash Goyal, Sumit Pandey, Karan Jain
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7. Build Better Chatbots: A Complete Guide to Getting Started with Chatbots
2017 by Rashid Khan, Anik Das
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How to download PDF:
1. Install Gooreader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
The first chatbot prototypes were developed primarily for B2C interactions, i.e., as an first-level "answering machine" for potential clients. This type of interaction proved ineffective in the competitive environment for potential service customers and was virtually forgotten until the invention of GPT. The development of this approach resulted in widespread adoption of the B2B segment - using chatbots for internal support. Instead of serving external interests, text bots began to process internal requests, such as sending news or providing quick access to requested information.
These books describe the principles of natural language processing, conversational design and user experience, used for creating effective and engaging chatbots.
1. Chatbots - How to know everything
2023 by Max Editorial
Download PDF
2. The Definitive Guide to Conversational AI with Dialogflow and Google Cloud: Build Advanced Enterprise Chatbots, Voice, and Telephony Agents on Google Cloud
2021 by Lee Boonstra
Google's Dialogflow can be used to build cross-channel chatbots for web, social media and telephony while other Google Cloud tools like BigQuery and Chatbase are used for chatbot analytics and optimization. Dialogflow SDK and Google Cloud APIs can be used to build highly customizable voice platforms and chatbots that operate across different languages. But context management, intents and entities are critical in designing advanced conversational agents.
Download PDF
3. AI-Powered Chatbots: Enhancing Customer Service and Sales
2021 by Mayfair Digital Agency
Download PDF
4. Developing Enterprise Chatbots: Learning Linguistic Structures
2019 by Boris Galitsky
Download PDF
5. Getting Started with Chatbots: Learn and create your own chatbot with deep understanding of Artificial Intelligence and Machine Learning
2019 by Akhil Mittal
Download PDF
6. Deep Learning for Natural Language Processing: Creating Neural Networks with Python
2018 by Palash Goyal, Sumit Pandey, Karan Jain
Download PDF
7. Build Better Chatbots: A Complete Guide to Getting Started with Chatbots
2017 by Rashid Khan, Anik Das
Download PDF
How to download PDF:
1. Install Gooreader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
