docs: remove criteria retrieval docs for non-existent feature (#6282)
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@@ -8,7 +8,6 @@ Additional platform capabilities beyond core CRUD operations.
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- [Entity Linking](#entity-linking)
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- [Custom Categories](#custom-categories)
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- [Custom Instructions](#custom-instructions)
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- [Criteria Retrieval](#criteria-retrieval)
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- [Feedback Mechanism](#feedback-mechanism)
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- [Memory Export](#memory-export)
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- [Group Chat](#group-chat)
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@@ -165,44 +164,6 @@ await client.updateProject({ customInstructions: "Your guidelines here..." });
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---
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## Criteria Retrieval
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Custom attribute-based memory ranking using LLM-evaluated criteria with weights. Goes beyond semantic similarity to prioritize memories based on domain-specific signals.
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### Configuration
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```python
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# Define criteria at project level
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retrieval_criteria = [
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{"name": "joy", "description": "Positive emotions like happiness and excitement", "weight": 3},
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{"name": "curiosity", "description": "Inquisitiveness and desire to learn", "weight": 2},
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{"name": "urgency", "description": "Time-sensitive or high-priority items", "weight": 4},
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]
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client.project.update(retrieval_criteria=retrieval_criteria)
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```
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```typescript
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await client.updateProject({
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retrievalCriteria: [
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{ name: 'joy', description: 'Positive emotions', weight: 3 },
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{ name: 'urgency', description: 'Time-sensitive items', weight: 4 },
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],
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});
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```
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### Usage
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Once configured, `client.search()` automatically applies criteria ranking:
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```python
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# Criteria-weighted results returned automatically
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results = client.search("Why am I feeling happy?", filters={"user_id": "alice"})
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```
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**Best for:** Wellness assistants, tutoring platforms, productivity tools — any app needing intent-aware retrieval.
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---
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## Feedback Mechanism
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Provide feedback on extracted memories to improve system quality over time.
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