Smabbler :: API_RAG by Galaxia - most advanced Graph RAG with a few clicks

Optimizing data for smarter AI

Design RAG with ease. Deploy LLMs with confidence.

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API_RAG by Galaxia:
Most advanced RAG with a few clicks

Typical RAG pipeline can be long and complex. Smabbler enables fast track LLM deployment with improved accuracy.

Graph RAG as-a-service

Transparency and explainability by default

Smabbler Graph RAG as-a-service is enabled by language graph technology. Graphs are proven to provide more transparency for LLMs.

AI enhancement with graph context enrichment

Smabbler is enabled by Galaxia - a first of its kind graph language model (GLM) that combines Graph and NLP.

Smabbler Galaxia

Graph-based language model

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Smabbler QueryLab

Graph-powered query wizard

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Knowledge Foundation

Text to data transformation

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Galaxia ™ is a graph-based 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.

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