Advanced Patterns
Overviewโ
Advanced design patterns for continuously improving production Agentic AI system performance. The Self-Improving Agent Loop provides a closed-loop architecture that combines human feedback with automated evaluation to enhance agent behavior, and ADR documents record the rationale and trade-offs for design decisions. Knowledge Feature Store covers 3-plane feature management combining ontologies and Knowledge Graphs. The Semantic Caching strategy has moved to the Inference Optimization category.
Document Listโ
๐๏ธ Self-Improving Loop
5-stage loop design and safety mechanisms for self-hosted SLMs to autonomously learn and improve from production traces based on Karpathy's autosearch concept
๐๏ธ ADR: Self-Improving Loop
Architecture Decision Record documenting principles, scope, responsibilities, and rollback boundaries to be agreed upon before introducing the Self-Improving Agent Loop to production
๐๏ธ Knowledge Feature Store
3-plane design integrating ontology and Knowledge Graph into traditional Feature Store to reduce hallucinations, enable provenance tracking, and enhance domain entity utilization