HOLYCORES
中文Contact →
PRODUCTSHELIOSSPARKNOVAAETHER
SoftwareLaboratorySolutionsAsk HolycoresDevelopersCompanyCareersContact
中文
RAG & AGENTIC AI

AI agents for
healthcare and wellbeing.

Connect medical knowledge retrieval with traceable workflows, from patient access and clinical documentation to follow-up beyond the hospital. Explore verifiable applications for patients and care teams.

Discuss your use case →Explore agent applications ↓
HOLYCORES CARE / 12 SOLUTION CONCEPTS

AI across the care journey.

Explore the HOLYCORES Care solution family across patient services, clinical collaboration and wellbeing. These are solution concepts and proposed names; capabilities and delivery scope require project validation.

Appointments

CareLink

Patient Access Agent

Help patients access scheduling and services through conversational self-service.

How it works

  1. 01 / Patient

    Submit appointment needs

  2. 02 / Agent

    Match available time slots

  3. 03 / Patient

    Confirm visit details

  4. 04 / Agent

    Deliver confirmation and reminders

AI-generated scenes · Proposed workflow; system integration and permissions require project validation.

Inputs
Patient request, appointment availability
Workflow
Identify need → Schedule → Confirm
Discuss this solution →
Patient intake

CareIntake

Patient Intake Agent

Collect patient-reported history before a visit for care-team review.

How it works

  1. 01 / Patient

    Share symptoms and history

  2. 02 / Agent

    Collect missing details and summarize

  3. 03 / Clinical team

    Review intake summary

  4. 04 / Agent

    Hand off the reviewed summary

AI-generated scenes · Proposed workflow; system integration and permissions require project validation.

Inputs
Authorized patient context, intake questions
Workflow
Contact → Collect → Clinician review
Discuss this solution →
Discharge follow-up

CareFollow

Recovery Follow-up Agent

Follow up on recovery after discharge and hand concerns to the care team.

How it works

  1. 01 / Clinical team

    Provide a discharge follow-up plan

  2. 02 / Agent

    Run planned follow-up questions

  3. 03 / Patient and agent

    Report recovery and summarize concerns

  4. 04 / Care team

    Review and decide next steps

AI-generated scenes · Proposed workflow; system integration and permissions require project validation.

Inputs
Discharge plan, institutional follow-up protocol
Workflow
Follow up → Record feedback → Care handover
Discuss this solution →
Chronic-care check-ins

CareTrack

Chronic Care Agent

Support routine communication and check-ins for people with chronic conditions.

How it works

  1. 01 / Patient

    Share daily status and readings

  2. 02 / Agent

    Organize trends and missing entries

  3. 03 / Clinical team

    Review items requiring follow-up

  4. 04 / Agent

    Send approved reminders

AI-generated scenes · Proposed workflow; system integration and permissions require project validation.

Inputs
Care plan, patient feedback
Workflow
Check in → Record status → Team follow-up
Discuss this solution →
Preventive outreach

CarePrevent

Preventive Care Agent

Support annual wellness and screening outreach and help patients access services.

How it works

  1. 01 / Care provider

    Provide screening plan and authorized list

  2. 02 / Agent

    Identify people to contact

  3. 03 / User

    Respond with service preferences

  4. 04 / Agent

    Coordinate booking and handoff

AI-generated scenes · Proposed workflow; system integration and permissions require project validation.

Inputs
Institutional screening plan, authorized contact list
Workflow
Remind → Gather preferences → Arrange or hand over
Discuss this solution →
Prescription services

CareRx

Prescription Services Agent

Handle refill requests and status queries within institutional workflows.

How it works

  1. 01 / Patient

    Submit a pharmacy request

  2. 02 / Agent

    Check details and route the request

  3. 03 / Pharmacist or doctor

    Review medication and prescription matters

  4. 04 / Agent

    Return the confirmed status

AI-generated scenes · Proposed workflow; system integration and permissions require project validation.

Inputs
Patient identity, refill request, authorized system data
Workflow
Receive request → Query or route → Update
Discuss this solution →
Clinical documentation

CareNote

Clinical Documentation Agent

Turn clinical conversations into documentation drafts for clinician review.

How it works

  1. 01 / Patient and clinician

    Record encounter with consent

  2. 02 / Agent

    Draft structured clinical notes

  3. 03 / Doctor

    Edit and approve the draft

  4. 04 / Authorized workflow

    Submit the approved note

AI-generated scenes · Proposed workflow; system integration and permissions require project validation.

Inputs
Consented clinical conversation, encounter context
Workflow
Capture → Draft note → Clinician review
Discuss this solution →
Nursing workflows

CareNurse

Nursing Workflow Agent

Assist nursing documentation and related workflows.

How it works

  1. 01 / Nurse

    Capture observations and conversations

  2. 02 / Agent

    Organize draft nursing records

  3. 03 / Nurse

    Check completeness and accuracy

  4. 04 / Care team

    Complete documentation handoff

AI-generated scenes · Proposed workflow; system integration and permissions require project validation.

Inputs
Nursing conversation, observations, institutional configuration
Workflow
Capture → Organize → Nurse review
Discuss this solution →
Clinical knowledge

CareKnowledge

Medical Knowledge Agent

Retrieve information from healthcare sources with citations for professionals.

How it works

  1. 01 / Professional

    Submit a clinical knowledge question

  2. 02 / Agent

    Search authorized knowledge sources

  3. 03 / Agent

    Summarize evidence with references

  4. 04 / Professional

    Verify sources and apply judgment

AI-generated scenes · Proposed workflow; system integration and permissions require project validation.

Inputs
Professional query, accessible knowledge sources
Workflow
Retrieve → Cite → Professional judgment
Discuss this solution →
Coding & documentation quality

CareQuality

Documentation Quality Agent

Support coding and documentation completeness for professional review.

How it works

  1. 01 / Care provider

    Provide authorized clinical notes

  2. 02 / Agent

    Organize coding evidence and gaps

  3. 03 / Coding specialist

    Verify suggestions against documentation

  4. 04 / Authorized workflow

    Submit reviewed quality findings

AI-generated scenes · Proposed workflow; system integration and permissions require project validation.

Inputs
Clinical documentation, institutional coding workflow
Workflow
Organize → Coding support → Review
Discuss this solution →
Symptom assessment

CareGuide

Health Information Agent

Use structured questions to prepare a symptom assessment report for further discussion.

How it works

  1. 01 / User

    Describe symptoms and health context

  2. 02 / Agent

    Ask follow-ups and organize information

  3. 03 / Agent

    Provide care information and a summary

  4. 04 / Clinician

    Assess the patient in context

AI-generated scenes · Proposed workflow; system integration and permissions require project validation.

Inputs
User-reported symptoms and health information
Workflow
Collect → Assessment report → Care discussion
Discuss this solution →
Mental wellbeing

CareMind

Wellbeing Support Agent

Support everyday emotional wellbeing through conversation and self-help exercises.

How it works

  1. 01 / User

    Share feelings and goals voluntarily

  2. 02 / Agent

    Offer supportive exercises

  3. 03 / User

    Reflect on experience and needs

  4. 04 / Support services

    Connect to professional support when needed

AI-generated scenes · Proposed workflow; system integration and permissions require project validation.

Inputs
Voluntarily shared feelings and goals
Workflow
Express → Practice → Seek support
Discuss this solution →

Evaluate each solution against institutional workflows, data authorization and regional requirements. Diagnosis, prescribing and emergency or crisis care remain the responsibility of qualified professionals.

01 / OVERVIEW

From finding answers
to completing tasks.

Knowledge assistants, predictable workflows and adaptive agents need different designs. Start with the business objective and choose the appropriate complexity.

01

Knowledge assistants

Retrieve relevant evidence and return sourced answers. Identify missing information when evidence is insufficient.

02

Business workflows

Connect models, rules and business interfaces through defined steps for repeatable tasks with clear acceptance criteria.

03

Task-oriented agents

Select tools, inspect results and adapt a plan within permission boundaries, budgets and stopping conditions.

02 / RETRIEVAL AUGMENTED GENERATION

Ground answers in evidence.

RAG retrieves enterprise information before generation. Data freshness, retrieval relevance and citation accuracy all contribute to trustworthy responses.

01 →

Ingest & prepare

Parse documents and tables; preserve sources, versions, timestamps and access metadata.

02 →

Index & refresh

Chunk by structure, build text and vector indexes, and synchronize additions, changes and deletions.

03 →

Retrieve & rerank

Combine keyword and semantic search within access permissions, then prioritize relevant evidence.

04 →

Generate & cite

Assemble context and link answers to source passages. A citation alone does not guarantee correctness.

05 →

Evaluate & improve

Test retrieval coverage, factual support and citations on representative questions; improve data and configuration.

For complex questions, agentic RAG can decompose queries, retrieve iteratively and check evidence coverage. Validate whether the quality gain justifies extra latency and cost.

03 / AGENTIC EXECUTION

Close the execution loop.

Use an agent when a task needs dynamic decisions about the next step. Prefer predictable workflows when the sequence is already known.

01

Goals & planning

Define inputs, success criteria, step limits and budgets before execution.

02

Tools & permissions

Define clear interfaces for retrieval, database queries and business operations; scope access to the user.

03

State & recovery

Track progress, tool outputs and checkpoints; design timeouts, retries, idempotency and recovery.

04

Action confirmation

Introduce review points for sending, writing and other consequential actions, with clear targets and impact.

05

Results & verification

Check outputs and actual system state against business rules; retry, recover or hand over when needed.

06

Tracing & evaluation

Connect model calls and tool events to task outcomes; test the impact of version changes.

04 / USE CASES

Start with concrete work.

These are solution design scenarios. Build a pilot around your data, existing interfaces and acceptance criteria.

01

Healthcare knowledge & support

Retrieve institutional patient guidance and service FAQs, then connect patients with scheduling, inquiries and human support.

02

Clinical knowledge and documentation

Retrieve authorized medical references and institutional guidance to draft citations, notes and checklists for professional review.

03

Healthcare service operations

Analyze authorized scheduling, follow-up and handover data to improve care services while enforcing patient-data access controls.

05 / EVALUATION

Measure outcomes,
not just model speed.

Evaluate retrieval, generation, tool execution and infrastructure together. Establish a reproducible baseline for quality, latency and cost.

DimensionMeasuresWhat to verify
Retrieval qualityRecall@k, ranking quality, permission filteringAre relevant sources found and prioritized?
Answer qualityFactual support, citation accuracy, abstentionAre claims supported and missing evidence acknowledged?
Task completionSuccess rate, tool accuracy, human interventionCheck actual business state as well as generated text.
Operational efficiencyEnd-to-end p95 latency, cost per taskInclude retrieval, reranking, generation and tool wait time.

The HOLYCORES validation path

01

Define the workload

Agree on knowledge scope, interfaces, permission boundaries and acceptance questions.

02

Establish a baseline

Profile embedding, reranking, inference and tool services to locate the main bottlenecks.

03

Validate the platform

Evaluate model adaptation, capacity and scaling against the target NOVA, AETHER and HOLYFLOW architecture.

Specific models, connectors, framework compatibility and deployment scale depend on joint validation and the agreed delivery scope.

FAQ

Plan your first deployment.

Does RAG eliminate hallucinations?

No. Missing evidence, conflicting documents and misinterpretation can still produce errors. Verify evidence and citations, and define when to abstain.

How does RAG differ from fine-tuning?

RAG supplies private or changing knowledge at request time. Fine-tuning primarily changes behavior, style or task performance. They can be combined.

Should we start with multiple agents?

No. Validate simple retrieval or a single-agent workflow first. Add coordination only when task decomposition delivers a measured benefit.

Can we validate in our own environment?

A validation plan can be scoped around local data boundaries, subject to model licensing, hardware, software adaptation and business interfaces. Share sample data and deployment constraints.

BUILD WITH HOLYCORES

Start with a healthcare use case.
Define a verifiable service workflow.

Discuss your use case →Explore HOLYFLOW →