Eigen Suite•6 min
EigenDB: Cut Vector Database Cost Before Scaling Enterprise RAG
Why vector storage cost, recall validation, and compression controls should be evaluated before a RAG program scales across the enterprise.
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Research & Insights
Eigen Suite
Experimental infrastructure for embeddings, context, model footprint, and applied AI efficiency.
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LLM Evaluation•7 min
Recursivity Experiments as a Validation Discipline for Complex AI Systems
A research note on recursive structure, compression, and why complex AI systems need falsifiable evaluation rather than abstract certainty.
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Eigen Suite•5 min
Reducing the Cost of Long-Context AI Workflows Without Retraining Models
EigenKV explores KV-cache reduction for long-context AI workflows where memory cost, latency, and quality must be evaluated together.
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Eigen Suite•5 min
Smaller Models for Controlled Enterprise Deployment
EigenWeights explores model footprint reduction for controlled deployments where latency, infrastructure limits, and quality thresholds matter.
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