Complete Coze tutorial: Building an AI chatbot from scratch
TLDRThe video tutorial provides a comprehensive guide to building AI chatbots using the Co platform. It introduces viewers to the Co Bot Store, where community-created bots are available for inspiration. The host, alongside Joshua, demonstrates how to create a 'Plan a Trip Bot' by utilizing features like persona prompts, plugins, knowledge bases, and workflows. The tutorial covers how to optimize prompts for better AI understanding, use large language models like GPT 4 for free, and personalize bots with variables and memory functions. It also explains how to publish bots on popular chat applications and the importance of card bindings for structured responses. The session concludes with an invitation to join their Discord server for further support and community interaction.
Takeaways
- 🤖 **Coze Platform Introduction**: Coze is a platform that allows users to build AI bots on top of large language models like GPT 4.
- 🏗️ **Bot Store Exploration**: The Coze bot store is a community-driven space where users can find and draw inspiration from a variety of bots created by others.
- 📚 **Knowledge Bases**: Coze offers the ability to create knowledge bases that can ingest information from various sources like PDFs, Excel sheets, APIs, and websites to enhance bot responses.
- 🔧 **Workflows and Plugins**: Users can utilize workflows and plugins to create multi-step processes and integrate different services into their bots for more complex functionalities.
- 🌐 **Publishing Bots**: Bots built on Coze can be published to popular chat applications like Discord, Slack, and Facebook Messenger directly from the platform.
- 🆓 **Free Access to Models**: Coze provides access to different OpenAI models, including GPT 4 and GPT 3.5, for free, allowing users to build without incurring monthly costs.
- 📱 **Portability and Sharing**: Bots created on Coze are portable and can be easily shared with friends or integrated into workspaces.
- 🗣️ **Text to Voice Feature**: Coze has a text-to-voice feature that allows bots to read out responses in selected voices, although it's noted that this feature may not be supported on all chat applications.
- 📈 **Model Configuration**: Users can customize the behavior of the large language models by adjusting settings like temperature, which affects the randomness of the responses.
- 📅 **Triggers and Scheduling**: Coze supports triggers that can initiate bot actions based on certain events or on a schedule, enhancing the bot's proactive capabilities.
- 🔗 **Databases and Long-term Memory**: Bots can utilize databases to store and manage information in a structured way, and long-term memory to remember past interactions for more personalized responses.
Q & A
What is the purpose of the Co Bot Store?
-The Co Bot Store is a platform where community members can share and explore AI chatbots they have built. It contains a variety of bots for different purposes, such as learning, productivity, character interaction, and more. It serves as an inspiration for builders and a resource for users to find bots that suit their needs.
How does Co differ from using GPT Builder with Open AI?
-Co offers additional features beyond what GPT Builder provides. It includes knowledge bases that can pull from various file types and sources, workflows for multi-step processes, and the ability to publish bots to popular chat applications directly from the interface. Co also gives access to different Open AI models for free, enhancing the customization and functionality of the bots.
What is a Persona prompt in Co, and how is it used?
-A Persona prompt in Co is used to define the character and skills of the chatbot. It's written in natural language and structured to include character, skills, and constraints. This prompt helps the bot understand its purpose and how it should interact with users, guiding its responses and behavior.
How can plugins enhance the functionality of a chatbot in Co?
-Plugins in Co are used to connect the chatbot to external services and APIs, allowing the bot to access and utilize their functions. For example, a Trip Advisor plugin can provide functions for searching flights, hotels, and local information, while a Yelp plugin can help find restaurants and provide recommendations.
What are card bindings, and how do they help in structuring responses?
-Card bindings in Co are a feature that helps structure and organize responses in a way that is expected based on the function of the API. They allow users to format responses with elements like titles, descriptions, and images in a vertical list or other formats, making the output more user-friendly and visually appealing.
How can variables be used to personalize a chatbot in Co?
-Variables in Co can be set to remember user preferences and properties, allowing the bot to give more customized responses in the future. They can store information about user preferences, such as trip preferences, and be referenced in the conversation to provide a more personalized experience.
What is the knowledge base feature in Co, and how does it help bots?
-The knowledge base feature in Co allows bots to reference and use content stored in different files, websites, and services. This gives the bot more context when answering questions, reducing the reliance on the bot's training data alone and allowing for more accurate and relevant responses.
How does the model configuration in Co affect the bot's responses?
-Model configuration in Co allows users to customize the behavior of the large language model used by the bot. Parameters like temperature can be adjusted to make the bot's responses more or less random, and the response length and dialogue rounds can be set to control the verbosity and interaction depth of the bot.
What is a workflow in Co, and how does it contribute to the bot's functionality?
-A workflow in Co is a multi-step process that combines different skills, such as plugins, knowledge bases, and variables, to create a structured response or perform a complex task. Workflows help in orchestrating between different nodes or skills to produce a stable and predictable response based on user queries.
How can triggers be used to make a bot proactive in Co?
-Triggers in Co can be set based on variables, databases, or events to make the bot send messages or perform actions at specific times or under certain conditions without user interaction. This allows the bot to be proactive, such as sending daily news updates or reminders.
What are the benefits of publishing a bot to the Co Bot Store?
-Publishing a bot to the Co Bot Store allows the bot to be discovered and used by the community. It provides exposure and the opportunity for feedback and improvements. Bots in the store can also be featured in recommended sections, increasing their visibility and user base.
Outlines
🤖 Introduction to AI Chatbots on Co So Co
The video begins with an introduction to creating powerful AI chatbots using Co So Co, a platform that allows users to build AI bots on top of large language models like GPT 4. The speaker, acting as a developer or user, is guided by Joshua through the process. They discuss the Co bot store, which contains community-built bots for various purposes such as learning, writing, and image generation. The store serves as a source of inspiration for bot creators and offers pre-built bots that can be used or adapted for personal use.
🚀 Getting Started with Building a Chatbot
The speaker expresses excitement about building a chatbot to help plan a trip to Japan. They outline the ease of getting started with Co So Co and the potential for adding complexities to the bot. The process involves naming the bot, describing its purpose, and customizing its profile image. The speaker emphasizes the use of persona prompts to design the bot's character and capabilities using natural language. They also discuss the optimization of prompts for better understanding and the use of markdown format to help AI emphasize certain characteristics.
🔍 Customizing the Large Language Model
The paragraph delves into the customization of the large language model used by the chatbot. It discusses the importance of selecting the right model based on the use case and the ability to adjust settings like temperature and response length to refine the bot's answers. The speaker also mentions the option to test the bot's functionality within the platform before publishing it.
📚 Utilizing Plugins for Enhanced Capabilities
This section highlights the use of plugins to extend the bot's capabilities. Plugins act as interfaces to various APIs, allowing the bot to fetch real-time data or perform specific functions. Examples include using the GitHub plugin to recommend popular projects and the Trip Advisor plugin to enhance travel planning. The speaker demonstrates how to add and utilize plugins within the bot's workflow.
🎨 Structuring Responses with Card Bindings
The speaker introduces card bindings, a feature that structures bot responses in a visually appealing way by leveraging the data from APIs. They demonstrate how to use card bindings with the Yelp API to present restaurant recommendations in a formatted card style, making the information more accessible and user-friendly.
🧳 Personalizing the Travel Bot with Variables
The paragraph discusses the use of variables to personalize the bot's responses based on user preferences. By setting variables for trip preferences, the bot can tailor its recommendations to the user's likes, such as choosing between hiking trails, historical sites, or food experiences. The speaker also assures that these variables are private to each user and that the bot creator cannot access personal variables set by users.
🧠 Incorporating Knowledge Bases for Context
The speaker showcases how to use knowledge bases to give the bot more context when answering questions. By uploading files or connecting to online data sources, the bot can reference content from various formats like PDFs, Excel sheets, and websites. The speaker also explains how to create a retrieval-augmented generation (RAG) pipeline using Co So Co's knowledge base feature.
📈 Managing Documentation with Knowledge Bases
The paragraph explains how to use knowledge bases to manage extensive documentation, such as the Co So Co documentation. The speaker demonstrates adding multiple pages from a website as a knowledge base, which allows the bot to search through and retrieve information from the documentation. They also discuss customizing the search strategy and adjusting the minimum matching degree for better results.
🔧 Adjusting Model Configuration for Precision
The speaker talks about adjusting the model configuration to reduce 'hallucinations' in the bot's responses and to get more precise answers. They discuss lowering the temperature of the model for more accurate responses and the importance of testing different configurations to find the best settings for a specific bot.
🛠️ Building Complex Workflows for Multi-Step Tasks
The paragraph introduces workflows, which are used to combine various skills like plugins and knowledge bases to create a multi-step process. The speaker uses an NBA scores bot as an example to demonstrate how workflows can be used to generate structured responses. They explain the concept of nodes within a workflow and how they connect to pass information from one step to another.
📅 Scheduling Triggers for Time-Based Actions
The speaker explains the concept of triggers, which can be set up to perform actions at specific times or in response to events. They demonstrate creating a trigger for an airport reminder and discuss the possibility of allowing users to set their own triggers through the bot.
🗨️ Crafting Opening Dialogues for User Onboarding
The paragraph discusses the use of opening dialogues to help users understand what the bot can do and how to interact with it. The speaker shows how to set up opening questions and use autogenerated responses to guide the user at the start of the conversation.
📊 Using Databases for Data Organization
The speaker introduces databases in Co So Co, which allow for organizing data in a tabular structure using natural language through chatting with the bot. They demonstrate creating a contact list database and explain how databases can be used for features like bookmark management.
📋 Exploring Advanced Features like Long-Term Memory and Filebox
The paragraph briefly touches on additional features like long-term memory, which remembers past conversations to enhance future responses, and the filebox, which acts as a photo album to store and query photos using natural language.
🗣️ Adding Text-to-Voice Functionality
The speaker discusses the text-to-voice feature, which allows the bot to read out responses in selected voices. They note that this feature is currently supported in certain chat applications and not all.
🔑 Understanding Single and Multi-User Modes in Databases
The paragraph explains the difference between single and multi-user modes in databases. Single-user mode is for individual use, while multi-user mode allows multiple people to read, write, and modify data in the same channel, which is useful for community bots or shared databases in teams.
🤝 Multi-Agent Mode for Collaborative Bots
The speaker introduces multi-agent mode, which enables the creation of a team of bots, each specializing in different skills. These bots can work together to complete tasks more efficiently than a single bot could.
📢 Publishing Bots for Wider Usage
The paragraph covers how to publish bots for others to use. The speaker explains the process of publishing to the Co So Co bot store and other popular chat applications, emphasizing the ease of making bots portable and accessible across different platforms.
📚 Accessing Resources and Getting Support
The video concludes with information on where to find resources and get support. The speaker mentions comprehensive documentation, the Co So Co Discord server for asking questions and sharing creations, and a YouTube channel for tutorials and case studies.
Mindmap
Keywords
💡AI chatbot
💡Co Bot Store
💡GitHub expert bot
💡Persona prompt
💡Plugins
💡Workflows
💡Knowledge bases
💡Variables
💡Card bindings
💡Multi-agent mode
💡Publishing
Highlights
Coco allows users to build AI bots on top of large language models like GPT 4.
The bot store is a community-driven platform featuring a variety of bots built by users.
Bots can be used for personal assistance, learning, entertainment, writing assistance, and image generation.
Coco provides features like knowledge bases, workflows, and the ability to publish to popular chat applications.
Users have access to GPT models for free, making it an affordable solution for AI bot development.
The platform offers a 'create a bot' button to easily start the bot development process.
Bots can be personalized with a profile image and a description that includes large language model integration.
Coco workspace provides a range of features to assist in bot development, starting with persona prompts.
Optimized prompts can enhance the bot's understanding and improve its functionality.
Plugins can be added to the bot to integrate APIs and enhance its capabilities.
Workflows can be created to combine different skills and features for multi-step processes.
Knowledge bases enable bots to reference content from various sources, providing more context in responses.
Variables can be used to personalize bot responses based on user preferences and past interactions.
Triggers allow bots to send messages or perform actions at specific times or based on events.
Opening dialogue can be set to guide users on how to interact with the bot from the beginning.
Databases in Coco can organize information in a tabular format, similar to an Excel sheet but through natural language.
Long-term memory feature allows the bot to remember past interactions to enhance future responses.
Filebox acts as a repository for files like photos, which can be saved and retrieved through the bot.
Text-to-voice feature enables the bot to read out responses in selected voices, although limited to certain chat apps.
Multi-agent mode allows for a team of bots, each specializing in different skills, to work together on tasks.
Bots can be published to the Coco store or directly to various chat applications for wider accessibility.