Add agentic AI: symptom triage crew

[NiharikaKulkarni]

This PR adds a new example demonstaring an Agentic AI workflow using crewAI. It showcases multi-agent collaboration, role seperation and distributed reasoning through a healthcare-style symptom-triage-example scenario.

Motivation
Many new users struggle to understand how to design agentic workflows beyond
single-prompt usage. This example focuses on agent roles, responsibility
separation, and collaborative reasoning, making it easier for beginners to
grasp core CrewAI concepts.

What’s Included

• A multi-agent symptom triage example
• Clear explanation of agent roles and responsibilities
• Step-by-step description of the agentic workflow
• Conceptual code snippet illustrating CrewAI usage
• Educational disclaimer for healthcare context

Why This Is Useful

• Improves onboarding for new CrewAI users
• Provides a realistic, real-world agentic use case
• Avoids reliance on unstable internal APIs
• Aligns with existing documentation example structure

Scope
This PR adds documentation only and does not modify any core library logic or
runtime behavior.

Happy to adjust structure or wording to better match CrewAI documentation
guidelines if needed.

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Note

Introduces a new documentation example illustrating an agentic, multi‑agent workflow for basic healthcare triage using CrewAI.

• Adds docs/en/examples/symptom-triage-crew.mdx describing three agents (Symptom Collector, Risk Assessor, Care Advisor) and their responsibilities
• Documents the end‑to‑end workflow (input → symptom extraction → risk assessment → care advice → final response)
• Includes a concise Python conceptual snippet showing Crew setup, goal interpolation with {patient_input}, and crew.kickoff usage

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