Tutorials Prompt Engineering Tutorial
AI Document Search Engine — PromptVerse Project
AI Document Search Engine — PromptVerse Project: free step-by-step lesson with examples, common mistakes, and interview tips — part of Prompt Engineering Tutorial on Toolliyo Academy.
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Prompt Engineering Tutorial · Lesson 99 of 100
AI Document Search Engine
Prompts ✓ → Apps
Apps · 2 — RAG & agents · ~10 min · Module 10: Real-World AI Projects
What is this?
PromptVerse Document Search combines hybrid retrieval, ACL filters, and optional answer synthesis with source preview.
Why should you care?
Enterprise search that respects permissions and shows why a doc matched.
See it live — copy this example
Copy the prompt into ChatGPT, Claude, or your LLM API playground and compare outputs.
SYSTEM: Doc Search. Return ranked docs with snippet and match_reason. Synthesis optional second step.
USER: QUERY: (text) USER_ACL: (groups)
EXPECTED: { results: [{ doc_id, title, snippet, score, match_reason }], synthesized_answer: string|null, citations: string[] }What happened?
- results array powers search UI.
- match_reason explains keyword vs semantic hit.
- synthesized_answer null if user chose snippets only.
Practice next
- Query with ACL group engineering.
- Confirm restricted doc absent.
- Inspect match_reason field.
- Highlight query terms in snippet.
- Pagination cursor in response.
Remember
Hybrid ranked results. ACL at retrieve. Optional grounded synthesis.
Enterprise search
Engineer searches deployment runbook.
Outcome: Top hit shows semantic match_reason + ACL-safe snippet.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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