Architecture & readiness
Pressure-test the use case, data sources, retrieval design, and deployment plan.
What you take away
A technical assessment, prioritized risks, and a practical roadmap for the next iteration.
Technical guidance & hands-on support
RAG consulting,
from prototype
to production.
Build on what’s working. Understand what needs to change. Get practical help turning a promising RAG prototype into a useful part of your business.
Architecture, retrieval quality, and answer evaluation, with support for the decisions and implementation work along the way.
Ways to work together
Get help where the work is hardest.
Start with a focused review, bring in implementation help, or establish an ongoing working rhythm. Each engagement has an agreed scope and deliverables.
Retrieval & evaluation
Investigate weak answers, build representative test questions, and compare changes to the pipeline.
What you take away
A baseline, failure analysis, and recommendations supported by evaluation results.
Hands-on delivery
Work alongside your team on ingestion, search, citations, integration, and operational checks.
What you take away
Agreed implementation work, team handoff, and an optional plan for ongoing review and support.
Start with the symptom
Turn vague quality problems into testable questions.
What you’re seeingWhat we investigate
“It misses information we know is there.”
Document coverage, parsing, chunk boundaries, metadata, retrieval recall, and ranking.
“The answers sound right, but aren’t.”
Whether the retrieved passages support the answer, how citations are produced, and when the system should decline to answer.
“Our demo works. Production is harder.”
Permissions, document freshness, representative evaluations, latency, cost, and monitoring.
How we work
Make progress you can measure.
We start with actual user questions and the decisions your team needs to make. The work connects technical changes to observable outcomes.
Discuss an engagementUnderstand the workflow
Review your goals, system, source material, and constraints. Agree on what a useful result would look like.
Establish the baseline
Build or review an evaluation set. Identify recurring failure patterns and choose a focused set of changes.
Test, implement, and hand over
Compare results, document tradeoffs, and leave your team with clear next steps and the agreed implementation.
Before we start
Bring your questions.
And your constraints.
Looking for a complete system build? Explore RAG systems →
Do we need an existing RAG system?
No. A readiness and architecture review can help before you build. If you already have a prototype or a production system, we can focus on specific problems.
Can you work with our engineering team?
Yes. Engagements can include design reviews, paired implementation, evaluation work, and knowledge transfer. We agree on responsibilities and a working rhythm together.
Can we get ongoing service and support?
Ongoing work can cover quality reviews, source changes, evaluation maintenance, and technical guidance. Availability, response expectations, and scope are agreed as part of the engagement.
How are consulting fees determined?
We discuss the problem and expected deliverables first, then agree on a quote and timeline. A focused review and an implementation engagement will have different scopes.
Experience behind the work
Engineering, informed by evidence.
Led by Christopher Peters, former Principal Data Scientist at Zapier and Chief Scientist at Touch AI, the practice brings together applied statistics, engineering, and product experience to build and evaluate useful knowledge systems.
About the practiceRAG consulting / Start a conversation
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