19 minutesBuilding Production-Ready RAG Applications: Jerry Liu
Identify the production RAG controls missing from naive document-chat demos.
Anthropic. Anthropic engineers walking through what they actually changed when their multi-agent systems were misusing tools — collapsing endpoints, returning names instead of IDs, leaning on MCPs and Agent Skills instead of stuffing more tools into the system prompt. Maps point-for-point onto the article's checklist for tool descriptions and return-shape design.
The examples are Anthropic-specific, but the design lesson is stable: reduce tool ambiguity, return useful identifiers and test tool choice on real tasks. Re-check current Agent Skills and MCP guidance before copying any product-specific pattern.
Improve tool design so agents select the right action with the right parameters.
Know the difference between a tool schema, tool description and agent instruction.
Last reviewed: May 18, 2026
Continue through the same learning path with the next curated companion videos.
19 minutesIdentify the production RAG controls missing from naive document-chat demos.
39 minutesCompare agentic retrieval and graph retrieval in a concrete implementation.
13 minutesChoose between prompt engineering, RAG, fine-tuning or a combination based on the actual failure mode.
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