Make your Own AI Chatbot With Botsonic
TLDRThe video script introduces a bot creation platform, focusing on the support bot feature. It guides users through the process of creating a bot by uploading documents, links, and integrating data from various sources. The platform allows customization of the bot's appearance, settings for response length and language support, and the ability to prioritize FAQs for accurate responses. It also covers bot settings, starter questions, lead generation forms, and embedding the bot on websites or using it via API and integrations with popular messaging platforms.
Takeaways
- ๐ค The script introduces a bot creation platform with a focus on support bots, which can be trained using various data sources like documents, links, and FAQs.
- ๐ To create a support bot, users can simply click the 'Create a Support Bot' button, name their bot, and proceed to the sources page for configuration.
- ๐ The platform supports multiple file formats including PDF, Word, and txt, as well as the ability to upload links to websites, YouTube videos, and sitemaps for comprehensive data training.
- ๐ The bot can scrape text from uploaded links and files, training its AI model to provide accurate responses based on the provided data.
- ๐ FAQs can be manually added to address common questions that may not be present in the uploaded data, ensuring accurate and up-to-date responses.
- ๐จ The appearance of the bot can be customized with a company logo, avatar, and color scheme to align with branding.
- ๐ง Settings allow for adjustments in branding, widget position, response length, multilingual support, and choice of AI model.
- ๐ Starter questions can be set to guide users on what kind of inquiries they can make, helping them get started with the bot.
- ๐ Bots can be embedded on websites with a simple copy-paste of provided code, and can also be integrated with various platforms like WhatsApp and Telegram.
- ๐ Analytics are available to track conversations, user engagement, and other metrics for performance evaluation.
- ๐ The platform offers a one-month business plan for users to trial its features and provides customer support and documentation for assistance.
Q & A
What are the three different kinds of bots that can be created in the platform?
-The platform allows the creation of support bots, which are designed to answer questions based on a knowledge base or uploaded data and documents.
How does one create a support bot?
-To create a support bot, you need to click the 'Create a Support Bot' button, enter a name for your bot, and proceed to the 'Sources' page where you can upload documents or add links to your knowledge base.
What file formats are supported for uploading documents to the bot's knowledge base?
-The platform supports multiple file formats including PDF, Word documents, and txt files for uploading to the bot's knowledge base.
Can the bot be trained using links to external resources like websites or YouTube videos?
-Yes, the bot can be trained using links to external resources such as website URLs and YouTube video URLs. The platform also supports the use of sitemaps to help the bot find all the URLs present on a website.
How does the bot use FAQs to improve its responses?
-FAQs are used to provide answers to the most frequently asked questions that might not be present in the uploaded data. They can also be used to update outdated information, giving the bot a higher priority to provide the most recent and accurate response.
What customization options are available in the 'Settings' section for the bot?
-In the 'Settings' section, you can customize the bot's appearance, including the bot name, company name, logo, avatar, and colors. You can also modify text, hide branding, control widget position, show or hide sources, and enable or disable post-chat feedback.
What are the different AI models that the platform uses for the bot?
-The platform uses a model-agnostic approach, utilizing multiple models in the same class as GPT-3.5, such as Anthropics, Claude, and others. Depending on factors like latency and quality, different models are automatically selected for responses. Users can also choose to use a larger model like GPT-4 for higher quality responses, albeit with potential slower reply times.
How can the bot be embedded on a website?
-To embed the bot on a website, you can use the 'Embed the Bot' feature, copy the provided code, and paste it into your website's HTML. The bot can then be displayed on the site, and visitors can interact with it.
What integrations are available for the bot?
-The bot can be integrated with various platforms such as WhatsApp, Telegram, Calendly, and Facebook Messenger. There are also integrations for GDPR compliance, request call back features, Google Tag Manager for analytics, and Zendesk for help desk functionalities.
How can the bot assist with lead generation?
-The bot can be configured to display a user form at the start of a conversation, collecting information such as the user's name, email, and phone number. This data can then be used for lead generation and sales purposes.
What analytics and data logging features are available for the bot?
-The platform provides an 'Inbox' feature that logs all conversations between users and the bot, including the sources used for responses. It also offers an 'Analytics' section where you can view total conversations, user counts, and other relevant data. The collected data via forms can be exported from the 'Users' tab.
How can users test the bot before embedding it on a website or other platforms?
-Users can utilize the 'Share' feature to generate a publicly available link that can be shared with colleagues or friends for testing the bot's functionality and responses before integrating it into a website or other platforms.
Outlines
๐ค Introduction to Bot Sonic Dashboard and Support Bot Creation
The script begins with an introduction to the Bot Sonic dashboard and the process of creating a support bot. It explains that there are three types of bots that can be created, with a focus on the support bot which utilizes a knowledge base or uploaded documents to answer queries. The user is guided through the process of creating a bot, starting with clicking the 'create a support bot' button and entering a name for the bot. An example is given where the bot is named 'Right Sonic'. The script then moves on to discuss the 'sources' page, which is crucial for bot configuration. This is where documents, links, sitemaps, and FAQs are uploaded to train the bot. The integration with Notion is also mentioned, allowing for automatic data use for training the bot instead of manual file uploads.
๐ Uploading Data and Utilizing FAQs for Enhanced Bot Responses
This paragraph delves into the specifics of uploading data, such as files and links, to train the bot. It explains the various file formats supported, including PDFs, Word documents, and txt files, and the ability to add links from websites or YouTube videos. The concept of sitemaps is introduced as a way to help the bot find all relevant website links. The importance of FAQs is highlighted, explaining how they can provide answers to common questions that might not be present in the uploaded data. The script also discusses how to update and prioritize FAQ answers over older information from files, ensuring the bot provides accurate and up-to-date responses.
๐จ Customizing Bot Appearance and Settings
The paragraph discusses the customization options available for the bot's appearance and settings. It covers the ability to enter the bot's name and company name, upload a company logo and bot avatar, and modify text elements within the chatbot interface. The paragraph also explains how to hide branding, adjust the widget position, and manage the visibility of sources and post-chat feedback. The settings allow for changes in response length, multilingual support, and selection of AI models. Additionally, the paragraph touches on chatbot guidelines, where specific behaviors can be programmed based on certain conditions, and starter questions, which help users get started by providing sample questions.
๐ Embedding the Bot and Exploring Integrations
The final paragraph covers the methods for embedding the bot on a website and exploring various integrations. It explains the simple process of copying and pasting the provided code to display the bot on a website, with options to modify the bot's appearance and position. The paragraph also highlights the availability of integrations with platforms like WhatsApp, Telegram, Calendly, and Facebook Messenger. Special features such as GDPR consent banners, request call back buttons, Google Tag Manager for analytics, and integration with Zendesk for handing off unresolved queries to human agents are mentioned. The paragraph concludes with information on sharing the bot with colleagues or friends for testing and the availability of a one-month business plan for trial, along with support resources.
Mindmap
Keywords
๐กbot creation
๐กknowledge base
๐กuploading data
๐กFAQs
๐กchatbot settings
๐กbranding
๐กmultilingual support
๐กAI model
๐กchatbot guidelines
๐กstarter questions
๐กlead generation
Highlights
The introduction of a dashboard for creating and managing bots, emphasizing the support bot feature.
The ability to create bots based on a knowledge base or uploaded data and documents, expanding the versatility of bot applications.
The detailed explanation of the bot configuration process, including the importance of the 'Sources' section for uploading documents and links.
Support for multiple file formats such as PDF, Word, and txt, enhancing the bot's adaptability to various data types.
The inclusion of links and sitemap uploads for training bots, allowing the AI to utilize a broader range of information sources.
The integration with Notion, showcasing the capability to connect external workspaces and use data for training bots directly.
The demonstration of the bot training process, including the upload and training of website links, and the transition to processing status.
The chatbot preview feature, enabling real-time testing of the bot's ability to answer questions based on the uploaded data.
The significance of FAQs in providing accurate and up-to-date information, even when data from files might be outdated.
The customization options in the 'Settings' section, allowing for personalization of the bot's appearance and behavior according to brand requirements.
The option to hide branding and control widget position, offering a more tailored user experience.
The post-chat feedback mechanism, gathering user ratings and comments for continuous improvement of the bot's performance.
The explanation of the AI model selection process, highlighting the use of multiple models for optimizing response quality and latency.
The chatbot guidelines for training the bot to respond in specific ways under certain conditions, further refining its behavior.
The introduction of starter questions to help users initiate conversations with the bot, reducing confusion and enhancing user experience.
The lead generation capabilities through user forms, allowing for the collection of valuable data for sales and marketing purposes.
The various integration options available, such as WhatsApp, Telegram, and Facebook Messenger, expanding the bot's accessibility and reach.
The analytics feature for tracking conversations and user engagement, providing insights for bot optimization and improvement.
The straightforward process of embedding the bot on a website, making it simple to integrate into existing online platforms.