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Question

AI Search in other pipe

  • December 23, 2024
  • 1 reply
  • 62 views

daniel-batista-unyleya

Could AI Search in connected pipe?

You are working with two connected pipes, X and Y, where pipe Y contains the information you need. For example, if you want to search for the course “Cosmetic Nanotechnology” and return the results in a specific field called “Similar Courses,” the AI should assess the similarity of possible cards in pipe Y and return the results in the following format:

'[Course Name - Course Status - Course Coordinator - % Similarity]'

Prompt to use:

Search in the connected pipe '[Y] - Reservation Bank' and analyze the cards in this pipe to check for courses similar to the requested course: [Course Name]. Additionally, take into account the tags associated with the course: [Tags].

Return the results in the following format: '[Course Name - Course Status - Coordinator - % Similarity]'.

If there are multiple similar courses, list each one on a new line in the same format.

Example: If the requested course is 'CSI' and there are matches in the reservation bank, the return should be: '[CSI - GW - Alex - 80% Similarity]'.

Ensure that the courses with the highest relevance are listed first, based on the identified similarity.

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  • New Member
  • March 25, 2025
daniel-batista-unyleya wrote:

Could AI Search in connected pipe?

You are working with two connected pipes, X and Y, where pipe Y contains the information you need. For example, if you want to search for the course “Cosmetic Nanotechnology” and return the results in a specific field called “Similar Courses,” the AI should assess the similarity of possible cards in pipe Y and return the results in the following format:

'[Course Name - Course Status - Course Coordinator - % Similarity]'

Prompt to use:

Search in the connected pipe '[Y] - Reservation Bank' and analyze the cards in this pipe to check for courses similar to the requested course: [Course Name]. Additionally, take into account the tags associated with the course: [Tags].

Return the results in the following format: '[Course Name - Course Status - Coordinator - % Similarity]'.

If there are multiple similar courses, list each one on a new line in the same format.

Example: If the requested course is 'CSI' and there are matches in the reservation bank, the return should be Easy Font Generator: '[CSI - GW - Alex - 80% Similarity]'.

Ensure that the courses with the highest relevance are listed first, based on the identified similarity.

Yes, AI can search in a connected pipe and analyze courses in pipe Y based on similarity. It would use NLP techniques to compare course names and tags, then rank results by relevance. The output should follow the specified format, listing the most relevant matches first.


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