CareOnix

RAG & Agentic Systems

AI grounded in your knowledge - and capable of taking action

We build retrieval-augmented generation pipelines that answer from your documents and agentic systems that execute multi-step workflows autonomously - with guardrails, traceability, and human oversight.

  • RAG pipelines grounded in your data
  • Multi-step agentic workflows
  • Tool use, planning, and human-in-the-loop

Document pipeline

Live

Intake

Fax · PDF · form

Classify

Document type

Extract

Fields & data

Validate

Rules & checks

Human review

2 flagged
Routed to EHR

What we build

From retrieval to autonomous action

Advanced AI architectures that go beyond simple chat to real work.

RAG pipelines

Retrieval systems that find the right context from your documents and generate grounded, cited answers.

Agentic workflows

Multi-step agents that plan, reason, use tools, and complete complex tasks autonomously.

Tool integration

Connect agents to APIs, databases, and business systems so they can take real action.

Advanced retrieval

Hybrid search, re-ranking, and query expansion for high-precision document retrieval.

Safety and oversight

Guardrails, approval gates, and audit trails that keep agents accountable and predictable.

Multi-agent orchestration

Coordinate multiple specialized agents to solve complex, cross-domain problems.

How it works

Answers with receipts - actions with guardrails

Every RAG response cites its sources so users can verify. Every agent action is logged and reviewable. When the system encounters uncertainty, it asks for human guidance instead of guessing.

  • Inline citations linking back to source documents
  • Step-by-step agent reasoning traces for auditability
  • Human approval gates on high-stakes actions
Document-grounded AI system in action

How we work

From knowledge base to working system

A structured path to reliable, grounded AI.

  1. 01

    Map knowledge and tasks

    We identify your data sources, document types, and the actions agents need to perform.

  2. 02

    Design the pipeline

    We architect the retrieval, generation, and agent orchestration layers.

  3. 03

    Build and tune

    We develop the system, optimize retrieval quality, and validate agent behavior.

  4. 04

    Integrate and deploy

    We connect to your systems and deploy with monitoring and safety checks.

  5. 05

    Iterate and expand

    We refine retrieval accuracy and expand agent capabilities based on real usage.

The payoff

What RAG and agents deliver

Knowledge access and task automation that scales.

Instant knowledge access

Staff get accurate answers from your entire knowledge base in seconds, not hours.

Automated workflows

Complex multi-step tasks run autonomously with human oversight where it matters.

Trustworthy outputs

Every answer is cited, every action is logged - verifiable and auditable.

Always current

RAG systems reflect the latest version of your documents without retraining.

Scales with demand

Handle thousands of queries and tasks without adding headcount.

Domain precision

Grounded in your data, not the open internet - accurate for your specific context.

Under the hood

Technologies we build with

LLMs

  • GPT-4
  • Claude
  • Llama 3
  • Gemini

Frameworks

  • LangChain
  • LlamaIndex
  • CrewAI
  • AutoGen

Vector stores

  • Pinecone
  • pgvector
  • Weaviate
  • Qdrant

Infrastructure

  • Docker
  • Kubernetes
  • Redis
  • PostgreSQL

FAQ

Questions, answered

Still deciding? These are the things teams ask us most - and if yours isn't here, a 30-minute call will cover it.

RAG (Retrieval-Augmented Generation) grounds AI answers in your actual documents instead of relying on training data. This means accurate, current, cited responses.

Chatbots answer questions. Agents take actions - they can search, calculate, call APIs, update records, and complete multi-step tasks with planning and reasoning.

We build with guardrails, approval gates, and rollback capabilities. High-stakes actions always require human approval.

RAG systems automatically reflect the latest version of your documents. When you update a policy, the system uses the new version immediately.

Yes. We integrate agents with APIs, databases, and tools so they can orchestrate work across your entire tech stack.

Let's scope your project

Tell us what you're trying to solve. We'll come back with a clear, fixed-scope plan - no jargon, no obligation.