Tutorials Prompt Engineering Tutorial
Hybrid Search — Complete Guide
Hybrid 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 47 of 100
Hybrid Search
Prompts → Apps
Prompts · 1 — Basics · ~6 min · Module 5: RAG Systems
What is this?
Hybrid search blends keyword (BM25) and vector scores — great when users type exact IDs plus natural language.
Why should you care?
PromptVerse Enterprise Search runs hybrid with weighted fusion before rerank.
See it live — copy this example
Copy the prompt into ChatGPT, Claude, or your LLM API playground and compare outputs.
score = 0.4 * bm25(query, doc) + 0.6 * cosine(embed(query), embed(doc))
ranked = fuseScores(bm25Hits, vectorHits)
return rerank(ranked.slice(0, 20)).slice(0, 6)What happened?
- BM25 catches "ORDER-8842"; vectors catch paraphrases.
- Fusion merges lists; reranker sharpens top 6 for the prompt.
Practice next
- Query exact ticket ID — check BM25 wins.
- Query paraphrase — check vector wins.
- Tune 0.4/0.6 weights.
- Boost title field in BM25.
- Log which leg retrieved the clicked doc.
Remember
Hybrid covers IDs and meaning. Tune weights per domain. Rerank after fusion.
Support omnibox
Agent searches "ORDER-8842 duplicate charge".
Outcome: Hybrid returns order doc + billing FAQ.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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