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Arcana: A Grounded AI Knowledge Engine Built on Real-World Data Architectures
In a world where artificial intelligence is rapidly evolving, the need for grounded solutions that integrate seamlessly with data architectures has never been more crucial. Grounded AI helps ensure that AI systems are not only sophisticated in their outputs but also robust in their foundations.
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AI agents are quickly becoming one of the most discussed architectural patterns
RETRO TECH
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Arcana: a knowledge engine focused on AI systems and data architectures
AI moves fast, real systems need solid foundations. Grounded AI connects intelligence to data you can trust and run in production
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The Evolution of Data Search
The evolution of data search reflects this shift: from simple text matching to systems capable of understanding meaning, context, and intent. In today’s digital landscape, the ability to effectively sear through vast amounts of data is crucial for organizations aiming to derive meaningful insights.
FEATURE
Production AI with MongoDB: From AI Demos to Real Systems
As we explore the capabilities of agentic AI, it becomes clear that its impact is profound across various sectors. The continued advancement of agentic AI highlights the importance of structured approaches in leveraging its benefits for enhancing intelligence.rw
MUST KNOW
Agentic AI and the Rise of Structured Intelligence
As we explore the capabilities of agentic AI, it becomes clear that its impact is profound across various sectors. The continued advancement of agentic AI highlights the importance of structured approaches in leveraging its benefits for enhancing intelligence.rw
Data & Architecture
How real-world systems are designed, scaled, and sometimes broken. Data models, distributed systems, consistency trade-offs, scalability limits, and architectural decisions that matter in production environments
AI & Intelligent Systems
From models to systems that actually work. Agentic architectures, reasoning and planning, RAG pipelines, evaluation, and why many AI demos fail when they meet real data and real constraints
Platforms & Products
Technologies seen from real-world usage. Databases, cloud platforms, APIs, and products under real constraints, including MongoDB, AWS, Oracle, and the trade-offs behind choosing one platform over another