ORLANDO, Fla. , Oct. 16, 2024 /PRNewswire/ — Intelligence Factory has announced the release of OGAR (Ontology-Guided Augmented Retrieval), an AI-driven data retrieval technique that meets the complex data needs of sectors like healthcare, finance, and aerospace. Unlike conventional vector databases and retrieval-augmented generation (RAG) solutions, OGAR uses an ontology-based approach to provide hallucination free, industry-specific insights, tailored for fields like healthcare, finance, and aerospace while keeping sensitive data from being sent to Large Language Model (LLM) providers such as OpenAI, where it might be compromised or used to train new models.
Current AI retrieval tools often rely on an LLM alone, which can lead to “hallucinations” and data leakage. OGAR addresses this with domain-specific ontologies that ground the generative AI, enabling more accurate and contextually relevant data access in specialized fields.
“Many existing AI solutions depend on vector similarity and next token prediction, limiting their effectiveness in complex settings,” said Matt Furnari, CTO of Intelligence Factory. “OGAR grounds the AI with structured meaning, preventing common AI-generated hallucinations.“
Why OGAR Stands Out for AI Agents
OGAR’s ontology-based design is ideal for industries where data accuracy and data security are essential:
About Intelligence Factory
Intelligence Factory is an applied AI company specializing in solutions for data retrieval, AI agents, and automation. We help organizations across industries:
For media inquiries or to schedule a demo, please contact:
Flavio Magalhaes
Director of Marketing
Email: flavio@intelligencefactory.ai
Phone: (407) 725-8116
Website: https://intelligencefactory.ai | https://ogar.ai
SOURCE Intelligence Factory
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