RAG Strategies
Strategy
Redwood
Cedar
Cypress
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Last updated
Speed
1-2 sec
2-3 sec
4-5 sec
Vector Search
✅
✅
✅
Chunking
✅
✅
✅
Memory
✅
✅
✅
Privacy
✅
✅
✅
Memory-enhanced prompt
✅
✅
Context-aware Query reframing
✅
✅
Document Priority
✅
Noice Reduction
✅
Reranking
✅
Data Normalization
✅

Simplest/fastest approach, straightforrward RAG
Best for clear, well-formed questions where the user's query is already optimal for retrieval
⚡ Fastest (~1-2 seconds)

Best for ambiguous, context-dependent, or follow-up questions
Slightly slower (~2-3 seconds) due to additional LLM rewriting step
Better handling of conversational queries and ambiguous phrasing

Tier-Based Source Retrieval
Automatic Reranking
Higher Retrieval Volume
Equal Tier Treatment
Last updated

