Consulting packages

GraphRAG Readiness Assessment

An independent view on whether a knowledge graph will improve your retrieval, before you commit engineering time.

At a glance

Price
EUR 2,950 excl. VAT Fixed project fee
Time
About one week After access and scope are agreed
Scope
One use case and its data

Contracted with and invoiced by MILEAWAY AI SYSTEMS LIMITED.

Who it's for

Teams considering a knowledge graph or GraphRAG for search, question answering or an agent, who want to know whether it is worth the effort for their data and their users' questions.

  • Teams already running Neo4j who want to put their graph to work behind an LLM
  • Products whose questions depend on relationships, such as customers, accounts, policies, claims or transactions
  • Startups weighing a knowledge graph against better vector or hybrid search

The problem it solves

GraphRAG is often proposed as the fix for weak retrieval. Sometimes it is the right answer; sometimes better chunking, metadata or hybrid search would deliver more for less. The choice is hard to reverse once a team has built around it.

What I look at

  • The questions your users actually ask, and which of them depend on relationships between entities
  • Your data, what it would take to model it as a graph, and what is missing
  • Graph, vector and hybrid retrieval options, with the trade-offs for your case

What you get

  • An assessment of the use case, the questions users ask and the data available
  • A comparison of graph, vector and hybrid approaches for your case
  • An architecture recommendation, with its trade-offs
  • A phased roadmap, including what to build and evaluate first
  • A walk-through of the findings with your team

Scope, price and limits

  • One use case or product area
  • Representative data samples and existing documentation

Limits. The recommendation is based on the samples, documentation and questions provided during the assessment. It is not a build or a performance guarantee. Implementation is scoped separately, for example as a Knowledge Graph Prototype Sprint.

Price
EUR 2,950 excl. VAT Fixed project fee
Time
About one week After access and scope are agreed

Prices are in euro and exclude VAT, which is added where applicable. Any third-party costs, such as model or cloud usage, are confirmed in the quotation. Engagements are contracted with and invoiced by MILEAWAY AI SYSTEMS LIMITED.

Next step

Send me a short description of the use case and the data involved. I'll reply to arrange a discovery call.

How it works

  1. Discovery

    A short call about the use case, the data and what decision you need to make.

  2. Agreed scope

    A written scope and fixed-fee quotation covering the use case, the data samples, access and timing.

  3. Assessment

    I review the questions and the data, and compare graph, vector and hybrid options for your case.

  4. Recommendation

    The architecture recommendation and roadmap, walked through with your team.

Why work with me

I've built AI systems in financial services and insurance, and I speak and write in public about evaluating LLMs and putting knowledge graphs to work. You can check all of it.

Questions

Do we need to be using Neo4j already?

No. If you already run Neo4j, I assess how your existing graph could support retrieval. If you don't, the assessment covers whether a graph is worth adding at all.

Will you always recommend a knowledge graph?

No. If better chunking, metadata or hybrid search would do more for less, the recommendation says so.

What happens after the assessment?

Your team can build from the roadmap, or I can scope a Knowledge Graph Prototype Sprint to test the recommended approach on your data.

How do you handle confidential data?

Access, data handling and confidentiality terms are agreed in writing as part of the scope, before any work starts. I only ask for the access the agreed work needs.

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Contact

Tell me about your system

Book a 30-minute call, or send a few lines about what you're building and what's going wrong.

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