AI chatbots are no longer limited to large companies with expensive development teams. With modern technologies such as Retrieval-Augmented Generation (RAG), developers can now create AI assistants that understand their own business data, documents, and website content.
MyChat is built with exactly this idea in mind. It is a free and open-source platform that allows anyone to build a custom AI chatbot with RAG using their own data. Whether you want to create a chatbot for a website, documentation, internal knowledge base, or a personal project, MyChat gives you the basic tools to get started without building everything from scratch.
What Is MyChat?
MyChat is a web-based utility designed to make custom AI chatbot development simpler.
Instead of relying only on a general AI model, MyChat lets you provide your own knowledge through websites, PDFs, and text content. The platform processes this information and makes it available to the chatbot through a RAG-based pipeline.
The concept is simple: your data becomes the chatbot's knowledge source.
For example, a company could provide its website pages, product documentation, FAQs, and internal information. When someone asks a question, the chatbot can retrieve relevant information from the connected knowledge base and generate a more context-aware response.
The best part is that MyChat is open-source. Anyone can clone the project, understand its structure, customize the functionality, and host their own version.
Why Build an AI Chatbot with RAG?
Traditional AI chatbots can answer general questions, but they may not know the specific information you want them to provide.
This is where RAG becomes useful.
Retrieval-Augmented Generation allows an AI application to retrieve relevant information from a selected knowledge source before generating an answer. Instead of expecting the AI model to know everything, the application gives it useful context from your own data.
For businesses, this can be particularly useful for:
Product documentation
Customer support
Company FAQs
Technical documentation
Internal knowledge
Website information
Research material
With MyChat, users can create these knowledge-driven chatbot experiences without having to develop the complete RAG pipeline themselves.
Create Separate Chat Spaces
One useful feature of MyChat is Chat Spaces.
You can create and manage different chat environments depending on your requirements. Each space can have its own purpose and knowledge sources.
For example, you could create one chat space for customer support and another for technical documentation. Keeping these environments separate makes it easier to manage the information provided to each chatbot.
This approach is especially helpful when experimenting with multiple AI chatbot use cases from a single platform.
Add Your Own Knowledge Base
A chatbot is only as useful as the information it can access. MyChat makes knowledge base management straightforward by supporting multiple input methods.
You can add information through:
URL Scraping: Provide a website URL and collect relevant content for the chatbot.
PDF Upload: Upload PDF documents and use their content as a knowledge source.
Text Input: Add custom text directly when you have smaller pieces of information or specific instructions.
Behind the scenes, the RAG pipeline processes the content, breaks it into manageable chunks, and generates embeddings that can later be used for information retrieval.
This means you don't need to manually organize every piece of content before adding it to your chatbot.
Customize the AI Experience
Not every chatbot should communicate in exactly the same way.
MyChat includes AI personalization features that allow users to control aspects of the chatbot's responses. You can define the preferred response tone and control which knowledge bases should be considered when generating answers.
This gives developers more flexibility when creating specialized chatbot experiences.
For example, a customer-facing chatbot may need a friendly and professional tone, while an internal technical assistant could be configured to provide more direct and detailed responses.
Embed the Chatbot on Your Website
Creating a chatbot is only half the job. You also need a convenient way for users to access it.
MyChat includes widget control and embedding functionality, allowing the chatbot to be integrated into external websites.
You can manage the widget status, customize its appearance, and embed it where you need it.
This makes MyChat useful not only as a development project but also as a practical foundation for real-world AI chatbot applications.
Security and Authentication
When working with private documents and business information, security cannot be ignored.
MyChat includes features such as secure authentication and data encryption to provide a safer environment for managing chatbot-related information.
While every deployment should still be configured according to its specific security requirements, having these capabilities within the project provides a useful starting point for developers building their own AI chatbot platform.
Why Is MyChat Open Source?
One of the main goals behind MyChat is accessibility.
Building an AI chatbot from scratch can involve many different components: authentication, document processing, embeddings, retrieval, AI responses, knowledge management, and website integration.
MyChat brings these ideas together in a structure that is intentionally simple enough to understand and modify.
Because the project is open-source, developers can clone, customize, improve, and host their own version for free.
You can change the interface, add new features, connect different AI models, modify the RAG pipeline, or adapt the project for a completely different use case.
That freedom is one of the biggest advantages of an open-source AI chatbot.
Making AI Chatbots More Accessible
The goal behind MyChat is not simply to create another chatbot tool. It is to make the underlying concept of custom AI assistants easier for developers and businesses to explore.
RAG is becoming an important part of modern AI applications because it allows AI models to work with information that is specific to a particular organization or project.
With an accessible, open-source foundation like MyChat, developers don't have to start from a blank screen. They can take an existing project, understand how it works, experiment with it, and build something that fits their own needs.
MyChat is a starting point for anyone who wants to build a free AI chatbot using their own knowledge. Clone it, customize it, host it, and make it your own.
The project is open for feedback, improvements, and new ideas. The more developers experiment with it, the more useful it can become for the wider AI community.
