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Is Your Data Really Ready for the Age of Artificial Intelligence?

Craxel’s Black Forest™ uses advanced semantic knowledge graphs and O(1) technology to transform siloed data into actionable insights, enabling fast, secure, and AI-ready data for real-time decision-making at scale

By Craxel Founder and CEO David Enga

October 25, 2024

Craxel's Black Forest™ delivers the speed, efficiency, and contextualization at scale necessary for the coming age of AI. With Black Forest as your AI foundation, your data is exquisitely organized, with very fast ingestion and retrieval, generating more accurate information for better decision making.

 

Using advanced semantic knowledge graphs and our groundbreaking O(1) technology, Black Forest rapidly transforms complex, siloed datasets into contextualized knowledge for humans and the current and future generations of AI algorithms.

 

Curious how Craxel’s Black Forest™ delivers knowledge at scale to humans and machines? Here’s how it works:

 

•   Data Ingestion & Knowledge Extraction: Black Forest’s Knowledge Extraction Pipeline(s) extract and transform multiple datasets (structured or unstructured) into meaningful knowledge using semantic ontology while your data can remain in your existing data stores.

 

•   Embedding Model Integration / Knowledge Graph Construction: The embedding model creates vector embeddings - high-dimensional objects that represent information in context -and then stores these embeddings as part of the knowledge graphs within Black Forest where it is organized at lightning speed using Craxel’s patented O(1)algorithms. This makes querying contextualized information incredibly fast and efficient.

 

•   Query and Model Services: Users can interact with this knowledge via a query service and Black Forest Driver, making it easy to ask complex questions and retrieve real-time insights. The model service enhances this interaction by integrating with the knowledge graph.

 

•   LLMS:  Finally, the prompt generation services seamlessly connects the knowledge graph to LLMs, ensuring prompts are created with the appropriate semantic knowledge to effectively contextualize the LLM output.

 

•   Zero Trust Security: Throughout the process, Black Forest’s Zero Trust architecture ensures that data remains secure, compartmentalized, and encrypted with high-performance searchable encryption, even as it flows through multiple services and applications. This is essential for secure and responsible AI.

 

This revolutionary architecture enables faster, more efficient data-centric operations while reducing cloud compute costs and enhancing data security.

Ready to learn more? Drop us a line to see a demo and to discuss how Craxel’s Black Forest can get your data ready for AI!