RAG-RLM Hybrid Architecture
Description
Section titled “Description”RAG and RLM solve different problems in the same system.
- RAG optimizes focused retrieval and fast response.
- RLM optimizes exhaustive corpus analysis and synthesis.
The hybrid architecture combines both behind a router that dispatches each query to the right path.
Components
Section titled “Components”- Query router: classifies query scope and synthesis needs.
- RAG path: selective retrieval over indexed chunks, then answer generation.
- RLM path: recursive or programmatic corpus exploration, then synthesis.
- Unified answer surface: user receives one response regardless of route.
Why RAG Alone Falls Short
Section titled “Why RAG Alone Falls Short”- Similarity is not the same as relevance for broad analytical questions.
- Fixed top-k retrieval can omit important long-tail evidence.
- Large stuffed contexts degrade synthesis quality.
- It has no native exhaustive mode.
Why RLM Alone Is Overkill
Section titled “Why RLM Alone Is Overkill”- Higher latency due to multi-step recursive execution.
- Higher cost per query.
- Unnecessary complexity for simple lookups.
Hybrid Payoff
Section titled “Hybrid Payoff”- Speed where lookup dominates.
- Completeness where synthesis dominates.
- Better cost efficiency via selective use of expensive reasoning paths.
- Higher trust on “analyze everything” style questions.