In the context of Ask71, a semantic search tool, the relevance score serves as a critical measurement to determine the degree of similarity between a user's query and the information found within the system's knowledge base. The relevance score greatly influences the scope of knowledge that Ask71 extracts to form its response.

A higher relevance score implies a stricter requirement for a match from the knowledge base. This implies that Ask71 would extract less knowledge for a query, resulting in a more precise response. However, this precision might also constrain the AI's ability to answer a wider range of queries.

On the other hand, a lower relevance score broadens the range of knowledge that Ask71 considers when synthesizing a response. In cases where an exact match is available, it will be included alongside the broader context. This approach could lead to incorporating more general or even unrelated information from the knowledge base, consequently making responses more generic or potentially erroneous.

To illustrate the concept of relevance score in Ask71, let's consider two different user queries and how the system might respond based on the scores.

1. User Query: "Tell me about the eating habits of a lion."

Narrow Relevance Score: Ask71 searches for an exact match within its knowledge base, specifically addressing lions' dietary preferences, such as eating other animals and their hunting methods.

Wide Relevance Score: By utilizing broader knowledge, Ask71 generates a response that includes information about the dietary habits of big cats in general and their differences compared to other animal groups. The answer will also contain the exact match about lions' eating habits, allowing Ask71 to reason with limited information.

2. User Query: "What animals can fly?"

Narrow Relevance Score: Ask71 provides a list of flying animals, including birds, bats, and certain insects like butterflies and bees, based on specific information from its knowledge base.

Wide Relevance Score: Leveraging a broader set of knowledge, Ask71 discusses the various forms of animal locomotion, mentioning that some animals have adapted to flying as their primary movement method. This response will also include the exact match about flying animals, combining the related information with a broader context.

In these examples, a narrower relevance score means that Ask71 produces more targeted and accurate information by strictly adhering to the knowledge base. Conversely, a lower score expands the scope of knowledge used for response synthesis and includes any exact matches, which might cause Ask71 to deliver more generic or potentially mistaken answers along with pertinent information.

A narrower relevance score will also limit the scope of knowledge for the bot potentially causing it to overlook relevant information in the knowledge base when faced with slightly varied contexts.