Tutorials Prompt Engineering Tutorial
Semantic Search — Complete Guide
Semantic Search — Complete Guide: 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 44 of 100
Semantic Search
Prompts → Apps
Prompts · 1 — Basics · ~6 min · Module 5: RAG Systems
What is this?
Semantic search matches meaning, not just keywords — "cancel subscription" finds "termination of annual plan" chunks.
Why should you care?
PromptVerse doc search bar uses semantic retrieval before the LLM summarizes results.
See it live — copy this example
Copy the prompt into ChatGPT, Claude, or your LLM API playground and compare outputs.
results = vectorDB.query(embed("how to cancel subscription"), k=6)
// also returns "termination policy" chunk without word "cancel"What happened?
- Query embedding nears policy language about termination.
- Keyword-only search might miss this paraphrase.
Practice next
- Index chunks with synonyms not in query.
- Search with casual phrasing.
- Compare to BM25 keyword search.
- Add cross-encoder rerank on top 20.
- Log zero-result queries for index gaps.
Remember
Meaning match beats exact words. Combine with keyword for SKUs. Rerank top hits when precision matters.
Support search bar
User searches "turn off auto renew".
Outcome: Semantic hit on billing auto-renewal doc.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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