When does keyword search beat semantic search?
PICTURE THIS: RAG CHATBOT
Simple meaning
Exact SKUs, error codes, names, and legal citations often fail in embedding space.
WHY — Hybrid search instead of guessing?
Why interviewers care about Hybrid search:
on Hybrid search.
the situation, the default choice, and one exception - that reads as experience.
Name the idea, why it exists, then one short example.
End with when you use it and one common pitfall.
STEPS — What happens with tokens?
Before the model can read a sentence, it goes through these steps:
- 1Exact SKUs, error codes,
names, and legal citations often fail in embedding space.
- 2Semantic search shines on
natural-language paraphrases.
- 3Hybrid search exists because
both failure modes appear in one product.
- 4Context mix
Attention looks at nearby tokens together.
- 5Next token
The model scores what should come next.
- 6Decode
IDs turn back into readable text.
EXAMPLE — See it in action
Here's a short line you can speak, broken into clear beats:
Note: Adapt this scaffold to your own project — keep it under 60–90 seconds.
Key takeaway
Exact SKUs, error codes, names, and legal citations often fail in embedding space. Semantic search shines on natural-language paraphrases.