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Autonomous Semantic Graph

A Living Graph That Understands Your Business

Connecty’s Autonomous Semantic Graph (ASG) continuously learns your schema, relationships, and intent — powering agents, BI, and apps with governed, contextual understanding of your data.

What Is the Autonomous Semantic Graph?

The ASG is a continuously evolving knowledge layer that fuses schema metadata, query history, and data statistics into a single, governed understanding of your business. It maps entities, metrics, joins, lineage, and policies — so any question can be answered with context and consistency.

How It Helps

Consistent answers across tools, agents, and dashboards.
Governed definitions with verified metrics & dimensions.
Faster delivery — weeks of modeling reduced to minutes.
Continuous learning from usage and feedback.

Under the Hood

Σ
Entity & relationship extraction from schema and joins.
Σ
Metric grammar & lineage tracked across sources.
Σ
Policy-aware reasoning (roles, PII, row-level rules).
Σ
Visualization intent & query plans embedded into responses.

How It Works

Evolving semantics with human guardrails — continuously.

1

Ingest & Discover

Connect Snowflake, BigQuery, Databricks, PostgreSQL, or Athena. We scan tables, keys, joins, and statistics.

2

Learn From Usage

Analyze query history to capture metric formulas, filters, and naming patterns that reflect your data language.

3

Build Semantic Grammar

Generate a verified grammar of entities, metrics, and relationships; reconcile conflicts automatically.

4

Govern & Verify

Enforce verified-only mode, row-level policies, and lineage. Human-in-the-loop validates changes.

5

Reason & Visualize

Context Graph encodes chart intent so answers ship as readable insights — not just tables.

Key Capabilities

Everything your agents and analysts need to agree on the truth — and move faster.

🧠

Parallel Semantic Reasoning

Entity extraction, join detection, and metric classification run in parallel for speed at scale.

🧩

Entity Resolution

Unifies synonyms and aliases across sources to a single, governed definition.

📐

Metric Grammar & Lineage

Captures formulas, filters, and provenance so every KPI is explainable.

🔒

Policy-Aware Access

Verified-only mode, roles, and PII tagging keep answers consistent and safe.

📊

Context Graph

Embeds visualization intent (trend, bar, breakdown) directly into generated queries.

Continuous Reconciliation

Learns from new usage and feedback; resolves ambiguity without manual rework.

Business Value

Faster answers. Fewer debates. Safer access. Higher trust.

Weeks → Minutes

Time to Insight

Auto-built semantics accelerate adoption across teams.

+ Consistency

Single Source of Truth

Governed definitions avoid metric drift across tools.

- Risk

Policy & Lineage

Every answer is explainable and access-aware.

Where ASG Delivers

Plug the graph into any workflow — AI agents, BI, notebooks, or apps.

Agentic Analytics

Give agents context and guardrails to answer complex, multi-hop questions safely.

BI Consistency

Looker/Tableau leverage the same metric grammar for aligned dashboards.

Data Products

Ship semantic APIs and embed governed metrics in your apps.

Self-Serve ML

Feature discovery with entity resolution and policy-aware access.

Road to Autonomous Agentic AI for Data

0

‘Day 0’ Logic Consolidation

Dwh, Medallion, Aggregates,
dashboard, governance tools

1

Context Filtering

Global to local context

2

Reconciliation

Code comparison

3

Parametrization

Local context comparison

4

Enrichment

External, Unstructured,
Undocumented

Day 0 SL Agent

Real-time Learning Agents

Turn Your Warehouse Into a Living Knowledge Graph

Launch the Autonomous Semantic Graph and give your teams instant, governed intelligence.