This text discusses the architecture of a multi-knowledge base QnA chatbot that uses AI agents to handle questions across multiple knowledge bases. The chatbot combines multiple agents for selector logic, summarization, aggregation, and refining questions based on conversation history. The goal is to create a chatbot that can provide coherent answers from multiple knowledge bases while keeping track of context. The architecture includes a questionRefiner agent that refines the user’s input question based on conversation history, making the chatbot context-aware. The text highlights the potential of AI agents in making complex tasks more manageable and unlocking valuable insights from various information sources.
| Signal | Change | 10y horizon | Driving force |
|---|---|---|---|
| AI Agents for Multi-Knowledge Base QnA Chatbot | From single knowledge base to multiple knowledge bases | Chatbot can handle questions across multiple knowledge bases | Advancement in AI technology |
| Delegating Selector Logic to AI Agents | From manual selection of relevant knowledge bases to AI-based selection | AI agents can select relevant knowledge bases based on input | Automation and efficiency in knowledge base selection |
| Using AI Agents for Summarization | From manual summarization to AI-based summarization | AI agents can summarize extracted text from knowledge bases | Improved efficiency and accuracy in summarization |
| Aggregator Agents for Information Retrieval | From manual aggregation to AI-based aggregation | Aggregator agents retrieve information from summarizer agents | Improved efficiency and accuracy in information retrieval |
| Integration of Question Refiner Agent | From no conversation history to context-aware responses | Chatbot remembers conversation history and provides context-aware responses | Enhanced user experience and personalized interactions |
| Increasing Capabilities of AI Models | AI models becoming more capable | AI models can handle complex tasks and unlock valuable insights | Advancement in AI technology and improved performance |