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RAG & Graph RAG

Your documents contain answers. We make them accessible through conversational search systems that cite their sources.

What we deliver

  • RAG or Graph RAG system configured on your data
  • Conversational search interface (web or Teams/Slack)
  • Automated indexing pipeline
  • Technical documentation and user guide
Azure OpenAIAnthropic ClaudeLangChainPostgreSQL + pgvectorNeo4j (Graph RAG)

Our 5-step approach

From audit to production. Across every domain.

1

Audit & Scoping

Analysis of your data, infrastructure and constraints (GDPR, security, legacy).

1 week
2

Technical PoC

A working prototype to validate the chosen approach.

2 weeks
3

Development

Building the full system, pipelines and user interface.

3–5 weeks
4

Testing & Tuning

User tests, performance tuning, edge-case fixes.

1–2 weeks
5

Rollout & Training

Go-live, documentation and training of internal teams.

1 week
Let’s discuss your project →