HLTCHKUST/ke-dialogue
KE-Dialogue: Injecting knowledge graph into a fully end-to-end dialogue system.
This project helps you build task-oriented chatbots that can understand and respond to user requests using information from a knowledge base. You provide the chat history and relevant information (like restaurant details or flight schedules), and the system learns to embed this knowledge directly into its responses, rather than needing to constantly look it up. This is ideal for anyone designing or implementing conversational AI, particularly for customer service, virtual assistants, or information retrieval applications.
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Use this if you need to create a task-oriented dialogue system that seamlessly integrates factual information into its responses without requiring a separate knowledge base lookup during conversations.
Not ideal if your application requires a dynamic, frequently updated knowledge base that can't be periodically finetuned into the model's parameters.
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47
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7
Language
Python
License
MIT
Category
Last pushed
Jan 19, 2022
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