KnowPilot: Your Knowledge-Driven Copilot for Domain Tasks
This addresses the challenge of deploying generative agents in specialized domains, though it appears incremental as it builds on existing knowledge-augmentation methods.
The paper tackles the problem of generative agents lacking domain-specific knowledge in real-world industry scenarios by introducing KnowPilot, a knowledge-augmented framework that integrates task priors, explicit knowledge, and experiential memory, achieving superior performance in domain-oriented text generation across fields like medicine and finance.
Despite the rapid advancement of generative agents, their deployment in real-world industry scenarios often encounters significant challenges due to a lack of domain-specific knowledge. To address this gap, we present KnowPilot: a Domain-Specific Knowledge Augmented Generative Agent System. KnowPilot is an open-source framework that integrates task-specific priors, explicit knowledge, and experiential knowledge to enhance agent performance in specialized applications. It combines knowledge retrieval from structured repositories with a memory system capable of capturing expert experience through human AI interaction. Taking domain-specific writing generation as a representative case, KnowPilot enables private deployment, supports injection of task requirements, loads private knowledge bases, and stores tacit expert knowledge as persistent memory. Experimental results demonstrate that KnowPilot achieves superior performance in domain-oriented text generation and is applicable across fields such as medicine, finance and industry.