LLM/RAG Architecture & Debug Review

Bring your LLM/RAG app idea or an existing implementation; this session focuses on diagnosing what’s failing and deciding the next concrete steps.​

What you’ll get: a prioritized action plan, architecture recommendations, and practical fixes for quality, latency, and cost.​

We can cover (based on your needs):​

1. RAG pipeline review: chunking strategy, embeddings, retrieval settings, reranking, context packing.​
2. Prompting + tool-calling/agent design: workflow, tool interfaces, failure handling, guardrails.​
3. Evaluation: test set creation, metrics, regression checks, and “what good looks like”.​
4. Production notes: caching, observability, cost controls, and deployment trade-offs.