Enterprise Headless CMS and Knowledge Management

Build Smarter AI Tools with VectorLink

Combine the power of LLMs with your data to build smarter generative AI tools. VectorLink uses the context of your data to enhance an AI model’s parameterized knowledge.

Do you need an AI assistant that specializes in your business? Talk to us to get you started.

Introducing

VectorLink

VectorLink is a data tool to provide LLMs with semantic context about your data.  It provides versioned indexing of your data and content enabling you to create smarter generative AI based on your own facts.

We provide consultancy helping to ready your organization for the AI age. Contact us to enquire.

VectorLink

Entity Resolution

Using the power of LLMs to provide semantically meaningful vector-embeddings in a high-dimensional vector space  to make comparisons.

VectorLink

Retrieval-Augmented Generation

Retrieval-augmented generation combines information retrieval of your business data with AI text generation.

VectorLink

Semantic Search

Semantic search combining AI model parameterized knowledge with your content, data and context. 

VectorLink

Semantic AI Classification

Taxonomies, audiences, and categorisation with AI assistance to save time and resource.

TerminusDB

Open-source document graph database

A multi-model and distributed open-source graph database and document store. At its heart is a collaboration model providing Git-for-data features such as branch, diff, merge, workflows, and revision control.

Build collaborative applications and knowledge graphs

TerminusDB

Open-source document graph database

A multi-model and distributed open-source graph database and document store. At its heart is a collaboration model providing Git-for-data features such as branch, diff, merge, workflows, and revision control.

TerminusCMS GraphQL query pane

The Building Blocks of TerminusDB

TerminusDB is built to provide developers with a suite of tools to solve complex problems and develop innovative applications and services. The key features that enable collaborative, relationship-aware, and data-focused applications include –

Git-Like Collaboration

Branch, clone, merge, just like in Git, but with data. Work in parallel branches, see complete audit logs and document histories. Git-like collaboration for data and content.

Scale Big, Store Small

We have the lowest memory overhead around. We use succinct data structures and delta encoding to keep things small, just 13.57 bytes per triple. We can scale to any size, with the only limitation being the memory available.

AI Best Practice

Graph relationships, metadata, and version control, coupled with VectorLink, the TerminusDB semantic indexer, provide the backbone to use AI with your data and in your applications.

Pull Request Workflows

Pull request workflows are built into the data layer to keep a human in the loop to ensure changes are correct.

Graph Data

JSON documents are connected in a knowledge graph providing relationship-focused data products with greater query power.

Portable Data

Data and content is stored as human and machine readable JSON documents - the structured format for the web.

Flexible Schema Design

The schema is based on a simple JSON syntax. Build it with a UI or in code. Schema migration tools help to evolve your applications over time.

API First

Connect with REST and GraphQL APIs and with Python and JavaScript clients.

Distributed Design

Work locally and offline and push changes to the cloud using the clients and command line interface.