# Interpretation

## Interpretation Guide

### When to Use Each Method

**Semantic Search**

* User queries are conversational
* Context and meaning matter more than exact terms
* Example: Customer support chatbots

**Hybrid Search**

* Balanced requirements
* Mixed query types
* General-purpose applications

**Keyword Search**

* Technical documentation
* Exact term matching required
* Structured data queries

**Generative Search**

* Users need explanations
* Complex question-answering
* Educational or advisory systems

**Reranking**

* High-stakes applications
* Quality over speed
* Limited result sets with high precision

### Score Interpretation

| Score Range | Quality   | Recommendation       |
| ----------- | --------- | -------------------- |
| 0.9 - 1.0   | Excellent | Use this method      |
| 0.7 - 0.9   | Good      | Consider this method |
| 0.5 - 0.7   | Average   | Needs improvement    |
| 0.3 - 0.5   | Poor      | Avoid this method    |
| 0.0 - 0.3   | Very Poor | Method not suitable  |
