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Aurozen AI

RAG & Knowledge Systems

Retrieval-augmented generation finds relevant content from your information and gives it to the model when answering. It improves access to relevant information; it does not guarantee every answer is correct.

Problems we solve

  • Knowledge locked in documents
  • Staff cannot find policies quickly
  • Generic models do not know your products

How we approach it

The work, in the order it happens.

  1. Source data and ingestion

    Collect, extract, clean, and chunk documents.

  2. Embeddings and vector search

    Index content with metadata filtering.

  3. Retrieval and response

    Retrieve, assemble context, generate answers with source attribution.

  4. Permission-aware retrieval

    Respect who may see what.

  5. Evaluation and updates

    Measure retrieval and answer accuracy; keep knowledge current.

Internal company knowledge assistantsPolicy and documentation searchProduct documentation assistantsSupport knowledge systemsDocument research workflows

From documents to answers

Sample documents and local keyword matching. No model is called.

  1. 1 Source documents
  2. 2 Chunking + metadata
  3. 3 Search + retrieval
  4. 4 Context assembly
  5. 5 Answer + sources
  6. 6 Human check where needed

Sample knowledge base (fictional)

  • Returns Policy (sample)

    Items can be returned within 30 days of delivery in original condition. Refunds are issued to the original payment method within 7 business days.

  • Shipping Guide (sample)

    Standard shipping takes 3 to 5 business days. Express shipping takes 1 to 2 business days. International orders may take longer.

  • Warranty Terms (sample)

    Electronics carry a 12-month limited warranty covering manufacturing defects. Accidental damage is not covered.

What you receive

Deliverables

  • ✓Ingestion pipeline
  • ✓Search/answer interface or API
  • ✓Evaluation set and accuracy results
  • ✓Update procedure

With your existing software

Sources can include drives, wikis, ticketing systems, and databases. Integrations are designed against your existing tools where technically feasible and where API access and permissions are available. They are scoped per project, not assumed to exist as prebuilt connectors.

Testing and deployment

Retrieval quality and answer accuracy are evaluated on a question set before launch.

Ongoing support

Knowledge-base updates and re-evaluation after content changes.

Delivery process

The same eight phases on every project; the detail changes by service.

  1. 01

    Discover

    Understand the business, processes, current technology, and desired outcomes.

  2. 02

    Assess

    Evaluate feasibility, risks, constraints, data availability, integrations, and approaches.

  3. 03

    Design

    Define the architecture, workflow, components, permissions, and implementation plan.

  4. 04

    Build

    Implement the agreed solution using suitable technologies.

  5. 05

    Integrate

    Connect the solution to existing systems where technically feasible.

  6. 06

    Validate

    Test functionality, integration behavior, failure scenarios, and agreed performance criteria.

  7. 07

    Deploy

    Deploy to the agreed environment: client-managed, cloud, or another supported arrangement.

  8. 08

    Support

    Provide the agreed maintenance, troubleshooting, monitoring, and improvements.

Questions

Yes, source attribution is a standard design goal.

Scope is determined after discovery. Request a tailored proposal. More FAQs

Have a business problem worth solving?

Explain your requirements and we will discuss a suitable approach.