Services

A structured engagement model that takes you from initial assessment to production-ready RAG systems. Clear deliverables at every phase, with decision points that respect your timeline and budget.

Strategic workshop session for AI implementation planning
Phase 01

RAG Workshop

2-5 days

A structured assessment of your use case, data landscape, and technical requirements. We evaluate feasibility, define success criteria, and create an implementation roadmap.

Suitable for

  • Organizations evaluating RAG for the first time
  • Teams with a specific use case to validate
  • Companies needing a technical assessment before investment

Deliverables

  • -Use case analysis and validation
  • -Data quality and structure assessment
  • -Technical infrastructure review
  • -Security and compliance requirements mapping
  • -Architecture recommendation document
  • -Implementation roadmap with timeline
  • -Resource and cost estimation

Outcomes

  • -Clear understanding of project feasibility
  • -Defined success metrics and evaluation criteria
  • -Technical architecture aligned with your constraints
  • -Decision framework for go/no-go
Development workspace showing RAG system implementation
Phase 02

RAG MVP

4-8 weeks

We build a functional RAG system using your data, deployed within your infrastructure. The MVP validates the approach with real users and provides measurable performance benchmarks.

Suitable for

  • Organizations with validated use cases from workshop
  • Teams ready to invest in a proof of concept
  • Projects with defined scope and data availability

Deliverables

  • -Functional RAG system with your data
  • -On-premise deployment in your environment
  • -Document ingestion and processing pipeline
  • -Retrieval system with optimized embeddings
  • -Generation component with selected LLM
  • -Basic user interface for testing
  • -Performance benchmark report
  • -Technical documentation

Outcomes

  • -Working system for user acceptance testing
  • -Validated retrieval quality metrics
  • -Baseline performance measurements
  • -Foundation for production scaling
Analytics dashboard representing production-ready RAG optimization
Phase 03

RAG Optimization

Ongoing engagement

Continuous improvement of your RAG system: enhanced retrieval quality, expanded knowledge bases, system integrations, and team enablement. We scale the system for production use.

Suitable for

  • Organizations with successful MVP deployment
  • Teams ready to move to production
  • Projects requiring ongoing optimization

Deliverables

  • -Retrieval quality optimization
  • -Knowledge base expansion and maintenance
  • -Integration with existing applications
  • -Performance tuning and scaling
  • -Monitoring and observability setup
  • -Team training and knowledge transfer
  • -Ongoing technical advisory
  • -Documentation updates

Outcomes

  • -Production-ready system at scale
  • -Integrated workflows with existing tools
  • -Internal team capability to maintain system
  • -Continuous improvement framework

Not sure where to start?

A workshop is designed to answer that question. We assess your situation and provide a clear recommendation.