Relational Knowledge Graph Data Retrieval

Answers from your records, with the source attached.

We map your relational data as connected records, such as customers, orders, shipments or appointments, so people and AI agents get answers drawn from the records themselves, each one citing where it came from.

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See the approach

Signal

Most business questions cross tables: which customers, with which orders, delayed by which carrier. Search over documents alone misses those links. A graph keeps them.

Client problem

The answer exists, spread across five systems.

Simple questions need a report request and a wait of days.
AI assistants answer from documents but cannot follow the links between records.
Nobody can say which record an answer came from, so nobody trusts it.

Approach

Model the relationships, then retrieve through them.

01 / MODEL

Map entities and links

Agree the entities that matter and how they connect, taken from your existing databases rather than rebuilt.

02 / BUILD

Build the graph and index

Load the graph, add text retrieval where documents matter, and keep both in step with the source systems.

03 / PROVE

Test on your questions

A written set of real questions with expected answers is run before launch, and again after every change.

Deliverables

What you get.

A documented graph model of your business entities, built from existing data.
A retrieval service that answers with citations to source records and respects existing permissions.
An evaluation set with results, and refusal rules for questions it should not answer.

Technology, grouped by purpose

Chosen for the job.

Sources

Your relational databases and documents, read through governed connections, never copied without need.

Retrieval

Graph queries combined with vector search, for example PostgreSQL with pgvector, in Python services.

Use

Answers for your team, and the knowledge layer behind our email, WhatsApp and workflow agents.

FAQs

Questions buyers ask.

How is this different from a chatbot over our documents?

Document search finds passages. A knowledge graph also follows the links between records, so it can answer questions that join customers, orders and events, and show the records it used.

Do we need to move our data?

No. The graph is built from your existing databases and kept in step with them. Access rules from the source systems carry over.

Strategy call

Bring three questions you cannot answer today.

A 30-minute conversation, no obligation. We will tell you plainly if this is not the right next step.

Book your strategy call