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Data Graphs
The Agentic AI data platform, powered by a high-performance graph database engine. Data Graphs delivers a governed, schema-driven multi-modal knowledge graph that gives enterprise AI systems precise, relationship-rich context. Built in Rust for O(n) linear performance, MCP-native, and deployed across regulated industries from agriculture to government.
- Authority
- 46 reach 0 · trust 10 · quality 21 · freshness 15
- Tier
- listed
- llms.txt
- https://datagraphs.com/llms.txt
- Sections
- 6
- Links
- 27
- Size
- 6402 bytes
- Registered
- 2000-11-29
- Country
- Ireland Hosting inference
- Hosting country
- Ireland Hosting inference
- Country evidence
- No published address evidence collected yet
- Categories
- AI and machine learning · Data and analytics
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-24T21:25:18.654Z
- Last checked
- 2026-10-24T21:25:19.148Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-24T21:25:18.658Z. Cached copy · Source on datagraphs.com
# Data Graphs
> The Agentic AI data platform, powered by a high-performance graph database engine. Data Graphs delivers a governed, schema-driven multi-modal knowledge graph that gives enterprise AI systems precise, relationship-rich context. Built in Rust for O(n) linear performance, MCP-native, and deployed across regulated industries from agriculture to government.
Data Graphs is built by Data Language Ltd. The platform combines a proprietary graph database engine with semantic data management, hybrid retrieval (GraphRAG plus Vector), governance tools, and a developer-friendly interface for both human and AI users. Customers include UK Parliament, Cochrane, Syngenta, News Corp, CropLife Europe, Bayer, BASF, and The National Archives.
## Platform
- [Platform overview](https://datagraphs.com/platform): The Agentic AI data platform. A governed semantic foundation connecting enterprise systems to AI applications. MCP-native, with built-in GraphRAG, data stewardship, and a best-in-class UI.
- [Graph Database engine](https://datagraphs.com/graph-database): A graph database built for queries others can't answer. Deep, complex graph queries that take other graph databases minutes or hours typically return in milliseconds. Benchmarked and provable. AI agents reason across the entire graph in real-time. Cloud, on-prem, or on-device. Query performance versus graph depth scales linearly, not exponentially. Built in Rust.
- [Developers hub](https://datagraphs.com/developers): APIs, SDKs, and MCP services for Data Graphs. JSON-LD, OpenCypher/GQL, W3C RDF. From first query to production in days.
## Solutions
- [Solutions overview](https://datagraphs.com/solutions): Ready-to-deploy solution patterns for governed, AI-ready data across industries.
- [Agentic AI and GraphRAG](https://datagraphs.com/solutions/agentic-ai): Schema-driven knowledge graph for grounded, hallucination-free AI. Hybrid GraphRAG plus vector retrieval out of the box, with no prompt engineering or retrieval tuning required.
- [Digital Product Passports (DPP)](https://datagraphs.com/solutions/digital-product-passports): Signed, registry-ready Digital Product Passports built from the product data you already have. A complete solution for the entire DPP lifecycle, from creation to publication, in any product sector. First hard deadline 18 February 2027: every in-scope battery needs a passport from day 1 (EV, light means of transport, and industrial batteries above 2 kWh). GS1 Switzerland Solution Partner.
- [AgriGuide Digital Labeling](https://datagraphs.com/solutions/agriguide): Start with one label, then scale to your entire portfolio. The Digital Label Accelerator turns a PDF plant protection product label into AgriGuide-compliant structured data in 5 to 15 minutes, using AI-assisted digitization with regulatory experts in control. Built on the same model, validation rules, and expertise that power CropLife Europe's AgriGuide platform across 27 EU member states and 25 languages.
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