Deduction and Accuracy capability of knowledge database

[dezhouc2]

Describe the solution you'd like

Exploring Prompting Strategies to Enhance Deduction and Accuracy in Knowledge Databases: Knowledge databases primarily function by extracting relevant information through indexing and querying, which generally yields lower levels of deduction and accuracy compared to large language models (LLMs). I am considering several prompting strategies to potentially improve these aspects, including Chain-of-Thought, Few-Shot Chain-of-Thought, and Zero-Shot Chain-of-Thought, which systematically approach problem-solving step by step. However, I am uncertain whether these strategies will be effective in the context of knowledge databases

Why the solution needed

To get a better user experiences and doing projects based on knowledge database.

[jeremylatorre]

Maybe the integration of bedrock agents will be the answer to this question?

[dezhouc2]

Maybe the integration of bedrock agents will be the answer to this question?

Thanks for your reply. I acutally implemented chain of thought in this case which DOES improve accuracy and deduction capabilities. I'm wondering except for the techniques I mention above, what else can I do?