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How do I improve internal search with prompt engineering?

Use prompts to rewrite employee queries into retrieval-friendly forms, expand acronyms, and infer intent from role or department. Provide synonym lists and access control rules. Ask for disambiguation questions when results are likely ambiguous. Pair with retrieval re-ranking to boost relevance.

In practice

Maintain a ‘company thesaurus’ (jargon → plain terms) and inject it into the prompt.

Where to start

  1. [01]Log common failed queries and acronyms.
  2. [02]Create a query rewriting prompt with rules.
  3. [03]Add clarifying question logic for ambiguous cases.
  4. [04]Measure click-through and time-to-answer.
internal search promptsenterprise search LLMquery rewriting AI

Related questions

// 001How do I prevent repetitive outputs across runs?// 002What’s a good fallback strategy when a prompt fails?// 003Which analytics matter for prompts in production?// 004How do you optimize prompt performance and reduce costs?

Build it properly.

Promptise Foundry treats prompts as software — typed blocks, versioning, guards and an inspector that shows you every assembly decision.

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