Create your chat agent with Chromia
This course equips you with boilerplate code to build a minimalistic AI-powered chat agent on Chromia. The goal is to give you a solid foundation that you can tinker with, allowing you to experiment with different agent strategies, memory management, and AI model integrations.
What is Chromia?
Chromia is a Relational Blockchain that combines the capabilities of relational databases with blockchain technology, streamlining the process of building decentralized applications (dapps). With Chromia, you can develop dapps in a familiar way, regardless of whether your background is in enterprise or gaming.
A standout feature of Chromia is Rell, a powerful and concise blockchain and database language. Rell simplifies dapp development by enabling you to create efficient, secure, and expressive applications with minimal code while retaining the flexibility of relational databases.
To explore Chromia and its features, check out the Chromia overview.
About the dapp
In this course, you will start with a boilerplate chat agent powered by an AI model. This agent is designed to store and retrieve context using short-term and long-term memory, providing dynamic, context-aware conversations.
You'll have the opportunity to experiment with AI strategies, fine-tune memory management, and switch between various AI models (like Groq and OpenAI) to customize the agent's behavior.
Below is a demonstration of the chat agent in action:
What will I learn?
By completing this course, you’ll gain practical experience in:
- Setting up and running a Chromia-based dapp.
- Exploring memory management strategies to enhance contextual accuracy.
- Integrating multiple AI models and customizing agent responses.
- Using Rell for backend operations, including queries and transactions.
- Adapting the chat agent to suit unique requirements or projects.
The result will be a fully functional boilerplate you can extend and modify to create a personalized, interactive chatbot dapp.
Repository link
Find the complete code repository for this course here: Chat agent course repository.