OpenViking là gì?

1. 1Explore the OpenViking documentation to understand its architecture and features
2. 2Build a simple knowledge graph using OpenViking to store and retrieve contextual information
3. 3Configure OpenViking to integrate with existing AI models and systems
4. 4Test the performance of OpenViking in a real-world application or prototype
5. 5Apply OpenViking to a specific use case, such as question answering or text classification

AI engineers and researchers can benefit from understanding OpenViking to improve their AI models' knowledge representation and retrieval capabilities. This knowledge can also be useful for data scientists and software engineers working on AI-related projects.

💡 OpenViking provides a flexible and scalable way to represent and retrieve contextual knowledge for AI agents

🤖 OpenViking: an open-source contextual knowledge graph database for AI agents! 📚