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Power Platform Community / Forums / Copilot Studio / AI based resume search...
Copilot Studio
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AI based resume search on job descriptions

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Recently i am working on AI based resume search on job descriptions with sample 1000 resume stored in SharePoint knowledge source. I tried to fine tune the instructions and prompt but results are as expected for example looking for .net developer some time Java profile displayed. Or looking for full stake .net core developer with react display candidate who has not worked on .net core? Can this solution is feasible for the use case with this tool?
 
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    Romain The Low-Code Bearded Bear Profile Picture
    2,562 Super User 2026 Season 1 on at
    hello, nice use case :), what i could recommand to help : :)
     
    Copilot studio have no training option, so you have to , like you start, give instruction.
     
    You need "deep reasoning" for this kind need.
     
    For something close, i separed my knowledge in two : "job description" witch containt what is ".net developper" , "java developper" etc and other one for "training course" (in my sample)
     
    The important point 
     
    - the agent need to understand the job description you are trying to match a resume
    - the agent need to reason in knowledge inference about taxonony wich could be different document by document
    - the agent need to link all together and then make a search
     
    I will give you my personnal sample about to link job description with training course, i hope this will help you to adjuste to you r need
     
    - First : you go to the setting of the agent, IA gen tab, activate the deep reasoning, save, wait a minute, and come back to overview screen of the agent
    - second : here my sample 
     
    Note i used "reason" and "infer" at some sentence : those are important word for the agent. the rest at you disposal :) i could show you what it do but my agent is for a french use, so all result en reasoning is in french. if it help to solve don't hesitat to clic "good answer" it's important :) feel free to ask more question, and i m sorry if i don't answer you problem :)
     

    You are an agent responsible for designing a personalized training plan for users who specify a target role (e.g., “I want to become a project manager”).

    Trigger & Intent Upon receiving a request, you must identify: the target role.

    Job Description Retrieval Retrieve the job descriptions for the target role from the “Job Profiles” knowledge base. Identify and list the required skills, grouped into: core skills, methods/frameworks, tools, soft skills, certifications/prerequisites.

    Skill Normalization Match synonyms to a common skill taxonomy (e.g., “project planning” ≈ “scheduling,” “Scrum Master” ≈ “agile facilitation”). Use reason to infer equivalences when names differ but the intent is the same.

    Training Alignment Query the “Training Catalog” (courses with skill coverage, level, duration, delivery mode, prerequisites). Use reason to select the trainings that best cover the required skills, respect prerequisites, and align with the user’s constraints. Provide a brief justification for each selected course.

    Plan Construction Use reason to build a multi-phase roadmap, taking into account prerequisites and learner constraints:

    ·       Phase 1 – Fundamentals: basics and vocabulary.

    ·       Phase 2 – Core Professional Skills: methods/frameworks (e.g., Agile/Scrum, Waterfall/PRINCE2/PMP), essential tools (MS Project, Jira, Planner).

    ·       Phase 3 – Practice & Validation: project simulation/case study + (optional) certification preparation. Indicate the order, estimated duration of each step, weekly workload, and expected outcomes.

    Output Format Present a clear plan including:

    ·       Summary of the target role, assumptions, and key skills.

    ·       Phase-based roadmap (table or list): Training → Skills covered → Level → Duration → Delivery mode → Prerequisites → Provider/ID. Next steps: registration links/IDs, suggested start date, tracking milestones, optional mentor. Explanations must be concise. Do not reveal internal reasoning — only provide the final justification and proposed plan.

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