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Rivac Labs
Engineering & Software Development

Knowledge Graph Engineer

Unstructured documents hide relationships that flat text search and vanilla RAG can't reason over — who reports to whom, which contract supersedes which, how one entity connects to another three hops away. We extract entities and relationships from your documents and structure them into queryable knowledge graphs in Neo4j or LangGraph, then wire that graph into retrieval so your AI features can answer relationship questions, not just similarity-matched ones. This is the right call when flat RAG is giving shallow or wrong answers to questions that require connecting multiple facts. You get a graph your team can query directly, plus the extraction pipeline that keeps it current as new documents arrive.

How We’d Approach This

A clear, staged plan — not a black box

  1. 1

    Identify the entity types and relationships that actually matter for the questions you need answered.

  2. 2

    Build an extraction pipeline against a document sample and load it into a pilot graph to test query quality.

  3. 3

    Review the graph structure and sample query results with your team, refining entity resolution and schema.

  4. 4

    Scale extraction across the full corpus and wire the graph into your RAG or application layer.

What You Get

Deliverables from this engagement

  • Populated knowledge graph (Neo4j or equivalent)
  • Entity and relationship extraction pipeline
  • Query interface or API for graph-enhanced retrieval
  • Schema documentation for maintaining the graph over time

Six Ways We Could Architect This

Different engagement, different build — pick the shape that fits

There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.

Ready to get started?

Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start — scoped small enough to prove itself before you commit to anything bigger.

Talk to us about Knowledge Graph Engineer

Most engagements like this start as a $500–$2,500 pilot — see full pricing.

Questions? Book a free call