GraphRAG Consulting
Agentic Giants is a GraphRAG consulting firm headquartered in Aubrey, Texas. We design and build knowledge-graph-grounded retrieval systems for enterprises where an LLM answer with a citation is the difference between shipping and staying in legal review.
What does a GraphRAG consultant do?
The Answer
A GraphRAG consultant designs and builds retrieval-augmented generation systems that query a knowledge graph, so AI answers are grounded in your data and carry citations back to source. Engagements typically cover ontology design, retriever architecture, evaluation harnesses, and production deployment in your cloud. The result is up to 90% fewer hallucinations — typically landing at single-digit residual rates in production, with the target agreed in writing.
Why hire a GraphRAG consultancy instead of building in-house?
Building in-house is the right call if you have senior engineers with graph experience and six months of runway. Most teams have neither: graph modeling, retrieval planning, and evaluation engineering are three distinct skills that rarely coexist on one payroll. A consultancy compresses the learning curve into a fixed-scope engagement — and with our model, you own 100% of the code, schemas, and eval harness, so nothing locks you in.
How we work
- Architecture & discovery (1–2 weeks). Data audit, LLM evaluation, graph blueprint, written findings report — yours to keep either way.
- Production pilot (4–6 weeks). Working GraphRAG pipeline in your VPC with citations, eval suite, and compliance gates. Accuracy target agreed in writing before week one; miss it and the pilot is free.
- Scale (quarterly). Same senior team extends the system, with monthly eval reports and full IP transfer.
Proof of work
RYVYL — banking-grade GraphRAG in production
Grounded GraphRAG with per-answer citations, approved by compliance and running live for a public payments company.
Read the RYVYL case study →Frequently asked
How much does GraphRAG consulting cost?
Enterprise engagements are fixed-price and scoped in a one- to two-week discovery stage. Pilots typically land between $150,000 and $400,000, with the first production release in your VPC inside six weeks. Multi-quarter scaled engagements — additional data domains, retriever tuning, ongoing eval — run $500,000+ per year. We don't publish a starting price because scope drives cost; the discovery report lands your exact number in writing, and the pilot is free if we miss the agreed accuracy target.
How long until production?
First working release in your environment inside 30 days; full pilot to production in six weeks. Architecture and discovery cover the first one to two weeks; the retriever, eval harness, and initial deployment ship in weeks three through six.
Which graph databases and LLMs do you work with?
Neo4j (four of our team carry Neo4j GraphAcademy certifications), Amazon Neptune, and RDF stores on the graph side. The retriever is model-agnostic across Claude, GPT-4, and open-weight models — retrieval is separated from generation so you can swap LLMs later without a rebuild.
Related reading
Request a confidential briefing
A 30-minute conversation with a senior specialist. Written findings report, yours to keep either way. No sales script.
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