EPISODE · Jun 20, 2026 · 29 MIN
Source-Restricted vs. Open Retrieval: How to Lock Down Your LLM
from My Weird Prompts
The terminology around "closed corpus" and "open world" LLM retrieval is a mess — and the stakes are high. A model blending your documents with its own training data can turn a contract review into a malpractice suit. This episode unpacks the real distinction: source-restricted versus open retrieval, and why it's a per-generation decision, not an application-level toggle. We walk through concrete cases in legal, medical, and compliance work, then survey how LangGraph, LlamaIndex, and the Anthropic and OpenAI SDKs handle — or fail to handle — the constraint. The verdict: there's no clean primitive, just system prompts and tool lists. Here's how to wire it up without getting burned.
What this episode covers
The terminology around "closed corpus" and "open world" LLM retrieval is a mess — and the stakes are high. A model blending your documents with its own training data can turn a contract review into a malpractice suit. This episode unpacks the real distinction: source-restricted versus open retrieval, and why it's a per-generation decision, not an application-level toggle. We walk through concrete cases in legal, medical, and compliance work, then survey how LangGraph, LlamaIndex, and the Anthropic and OpenAI SDKs handle — or fail to handle — the constraint. The verdict: there's no clean primitive, just system prompts and tool lists. Here's how to wire it up without getting burned.
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Source-Restricted vs. Open Retrieval: How to Lock Down Your LLM
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