Why My AI Service Advisor Forgot Everything
A practical memory strategy for LangGraph workflows, using an automotive service advisor to explain conversation context, execution state, persistent knowledge, and memory governance.
Retrieval systems
RAG Architecture
RAG is not just a search layer. The useful work is shaping evidence so it improves decisions without destabilizing workflow behavior.
Retrieval quality and metadata filteringContext shape, evidence coverage, and prompt integrationGrounding versus usefulness in production workflows
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Research notes in this topic
From Automotive Diagnostics to Banking Complaints: What I Learned Building a Local LLM Evaluation Platform
A second domain experiment showing why workflow behavior, retrieval shape, and reusable evaluation architecture matter more than simply adding more context.
From Baseline to RAG to Fine-Tuning: What Actually Works for Automotive AI
A practical experiment comparing baseline, RAG, fine-tuning, and combined approaches for automotive warranty and service diagnostics.