Smabbler :: Automated Graph Construction for AI Builders

Automated Graph Construction
for AI Builders

Transform data into graph structures in minutes, not weeks or months, and build
knowledge-powered AI / LLM applications with ease.

Build your graph

Galaxia Graph

Automated graph construction, knowledge augmentation, and built-in flexible retrieval
for rapid Graph RAG development.

Build your graph

Connect your data

Use simple interface or API to connect your data source.
Check data processing guide to transform your data into Smabbler-ready format.

Run data analysis

During analysis, the original data is enriched with additional information,
including synonyms, similarities, taxonomies, and other relevant data points.

Activate Graph Model in 2 steps

A graph model is a structured graph representation of your data, with built-in retrieval algorithms.
Graph Model activation means requesting a Virtual Machine to run your model in-memory.

Transparent and explainable results

Graph retrieval shows you what information was used to generate the response and why.
Connect Galaxia to any LLM to transform its performance.

Transparency by default

Graph technology proven to reduce hallucinations.

Context enrichment

AI enhancement with explainable graphs.

Simplicity and speed

Scalable SaaS architecture. Full API support.

The heart of the AI stack

Structured and Contextual Knowledge Integration

Quick start. Simple GUI.

Fast iterating and prototyping

Sustainable AI.

More efficient use of memory and computation

Smabbler Galaxia

Graph foundation language model

Learn more

Galaxia ™ is a graph foundation language model designed to address a wide variety of text processing tasks.

It can be applied to build knowledge graphs, annotate text, extract semantic relations, get embeddings, and many more NLP tasks.

Galaxia is the result of our research to build a light and scalable language processing graph that sits on ground truth, and provides context-enriched and transparent results.

Introducing QueryLab ™, a part of Smabbler graph language processing stack.

QueryLab provides graph-powered query wizard to create custom text queries in a few clicks and reduce the amount of time it takes to set up, launch, and build AI knowledge base / training set.

Full control over changes. Explainable and transparent data output optimized for different AI use cases.

Apply for early access Try an example