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Дх4RU

Let’s not just “show”, but I will lay out this letter as a living example of our system — the Crystal of construction of a + digital operator.

What it is now (as it is). This is a classic letter:

This is a linear model:

Company → Letter → Potential customer

Weakness:

No system

No digital footprint

No integration into the market

How it looks in our system (Crystal construction)

Now we include our architecture:

Crystal = 3

Nodes (entities)

This is already a registry of nodes

Ryobra (links)

This is a link graph (Graph DB).

Crystal (system)

Now it all becomes:

The company's digital passport + Products + Cases

What it should look like in a single portal

Here's the key. Now for paper. We need a digital living system.

Instead of a letter: Company profile

Product catalog (not text!)

Register of objects (very important). Each case = object:

. . . with reference:

Verification (the strongest place)

Instead of the words: “we worked on 50 objects”

The system shows:

Direct integration into the market

Here is where the magic happens:

It was: “We will be happy to provide information”

It will become: “Click — and order materials right now”

Translating a letter into a digital model

Here is our scheme:

Letter element

In the system

Company

Host (Entity)

Products

Catalogue

Projects

Register of objects

Trust

Verification

Contact

API / order

The most important thing is your system. We turn:

Description → in data

→ in relation to

→ links to the market

What it looks like in practice (very specific)

If you implement our system: - This document turns into:

Hard truth (without embellishments)

Now: It's just a marketing letter

In our system: it becomes an asset

And the difference is huge:

System architecture

Main idea

A letter is not a document. A letter is an unstructured incoming signal about:

The goal of the system is to turn this signal into a digital asset that lives on inside the platform. The way is this:

Document → Entity Extraction → Registry → Contact Graph → Services → Transaction

Logical levels of architecture

I'd lay 7 levels.

Level 1. Incoming Outline

This includes everything that comes into the system:

In the example of the letter:

The incoming artifact is a letter scan of LLC "Dh4Ru".

What the layer does:

Result:

The system understands that it is:

Level 2. Substance Extraction Layer

This is the core of the primary intelligence of the system.

It extracts:

At the output: a set of normalized entities appears.

Level 3. Normalization and master data (MDM)

This is where the system clears the chaos. Because the documents say the same thing in different ways:

The system must understand that it is the same object / customer / project outline.

What's going on here:

Result: a single entity register is created.

Basic system registers

It's the foundation. Without it, everything will fall apart.

Register of companies

The company card must contain:

For this case: LLC "Dx4Ru" = manufacturer of building materials.

Register of products and materials

Every material should have a card.

Material card:

In the example of the letter:

Register of construction objects

This is one of the main assets of the platform.

Object Card

For example:

Register of documents

The document should not live separately, but as part of the graph.

Document card:

This letter is type = submission letter/commercial installation letter.

Register of roles and participants

There are always a lot of participants in one place.

Roles:

The system should see not just companies, but who is in what role where it participates.

Graph model: knots and edges

That's where your idea of "node, edge, crystal" becomes real architecture.

Nodes

Node types:

Ribs. Connections between nodes:

Example of a graph for writing:

Dx4Ru LLC → produces → polymer coatings

LLC "Dh4Ru" → participated in → Moscow Metro

Polymer coatings→ applied on → parking lots of Moscow

Letter No105/25/Dx→ mentions → LLC "Dx4Ru"

Letter No105/25/Dx→ mentions → Magnet / Belgi / Rostvertol

Application services on top of data

This is no longer storage, but use.

Company Digital Profile Service

Shows:

Materials catalog service

Allows:

Decision-making service

For example: "We need parking cover 10 000 m² in Moscow"

The system gives out:

Trust and Verification Service

Checks:

Service deals / purchases

This is the transition to marketplace:

Technological architecture

Now hard and objective.

Frontend. Interfaces:

Approach:

Backend

We need a modular backend.

Main services:

Approach:

For MVP, I would not spray and went to a modular monolith to quickly assemble the core.

Data warehouses. We don't need one base here.

Relational DB

For registries and transactions:

Stores:

Graph DB

For links:

Stores:

Search index

For a quick search:

Stores:

Object Storage

For files:

Stores:

AI / intellectual layer

Without it, the system would be just an archive.

Document AI

Handles incoming documents:

Entity Resolution

Is it a new object or an existing one?

Recommendation Engine. Selects:

Trust Scoring

Considers the rating of trust of the company based on:

Knowledge Graph Intelligence

Allows you to answer questions:

Event Model

The system is alive, not static.

Events:

This will allow:

Security and Trusted Environment

This is critical for the construction platform.

Need:

Screen architecture on the example of this case

If you open a company from this letter in the system, the screen should be:

Company card

LLC "Dh4Ru"

Block 1. General

Block 2. Products

Block 3. Confirmed cases

Block 4. Documents

Block 5. Links graph

visual scheme:

Company ↔ Products ↔ Objects ↔ Documents ↔ Regions

Block 6. Actions

Minimum MVP

Don't build a space ship right away. We need to build a core.

MVP v1. Includes only 6 entities:

MVP-functions:

That’s enough to show the power of the system..

Recommended stack to start

Without too much romance. Practically.

Front

  • Next.js
  • TypeScript

Back

  • NestJS or FastAPI
  • REST/GraphQL API

Data

  • PostgreSQL
  • Neo4j
  • OpenSearch
  • MinIO

AI



  • OCR
  • NER / LLM extraction
  • entity matching
  • scoring pipelines

Infra

  • Docker
  • Kubernetes
  • docker-compose / dev cluster
  • Keycloak or analog for IAM

The architectural formula of our system

In one sentence:

Single construction portal = registry platform + graph links + intelligent verification + transaction service.

And if in your terminology:

Entities Nodes =

Ribs = relationship

Crystal = digital operating model of the construction market

The most important decision

Do not build a system as a "company website". It's dead-end.

Build as:

Registry + Graph + Proof Environment + Transaction Circuit

Then even such a simple letter becomes not an archive, but an entrance into the digital economy of construction.