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MRAG – The coreplatform for dataknowledge mining.

MRAG (Multi-source Retrieval Augmented Generation) is at the heart of the entire ecosystem. MRAG enables businesses to accurately query and respond to multiple data sources using AI.

MRAG Platform Interface Mockup

What does MRAG solve?

Data is scattered across files, documents, and databases.

Data visualization waves

It is difficult to find the right relevant information.

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Search magnifier

AI answers lack sources or are out of context.

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The value that
MRAG brings

MRAG acts as a data and knowledge platform,
providing the precise context for all the AI
applications mentioned above.

Connect multiple data sources: files, databases, metadata, schema

Hybrid Retrieval: combines keyword search and semantic search for increased accuracy

Intelligent chunk and context management, minimizing information misses

Clear source citation, controlling response content

Supports multiple languages and LLM models