My chat bot generate double response of each question first give the general about asking and next pick response from knowledgebase

Question

Chat bot generate double response of each question.

Answer 1

Your chatbot can offer double responses:

It may be: General Acknowledgement > Responding in General.

Knowledge Base Retrieval : Connecting to a KB to find more relevant answer.

This creates a natural flow and ensures an answer, even if not perfect.

Answer 2

Hello

Your chatbot design uses a two-stage response mechanism to provide users with information that is both comprehensive and targeted. Here's exactly how this dual response strategy works:

 

Phase One: General Information

 

For each question asked by the user, the bot first generates a general response about the topic. The purpose of this stage is to quickly provide users with basic concepts, definitions, common background knowledge or overview information in the field involved in the problem. This helps ensure that users have a basic framework of understanding of the topic being discussed before receiving more specific answers.

General information may include:

 

Definition and explanation: Provide a concise and clear definition of the professional terms, concepts or phenomena involved in the question.

Background introduction: Briefly describe the history, development context or industry status of the relevant topic to help users understand the macro background of the problem.

Overview of key points: Extract several core points related to the problem to allow users to quickly grasp the core content of the topic.

 

Phase Two: Knowledge Base Selected Responses

 

After providing general information, the bot selects the details from its knowledge base that best match or are relevant to the user's question as a second response. The knowledge base usually contains a large amount of professional knowledge, cases, statistical data, best practices and other rich content that has been organized and classified.

The process of selecting knowledge base responses may involve:

 

Intent identification and slot filling: Use natural language processing technology to analyze user questions, identify their intentions and possible slots (that is, specific details to be filled), and ensure that the selected knowledge base entries accurately correspond to user needs.

Semantic similarity matching: Calculate the semantic similarity between user questions and knowledge base entries and select the detailed information closest to the user's actual inquiry.

Keyword-based retrieval: Extract keywords from user questions, search for entries containing these keywords in the knowledge base and filter out the most relevant content.

final presentation

 

Dual responses combine to form a structured reply that first provides the user with an overview answer to the question, followed by specific, targeted knowledge base content as a supplement or in-depth explanation. Such a design helps improve the user experience, ensuring that they can quickly gain a global perspective on the problem and receive detailed and accurate information.

Best Regards,

Yanhong Liu

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