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Hybrid Retrieval and Semantic Cache Architecture

Create a top-down system diagram showing ingress, semantic caching, hybrid retrieval, inference safeguards, and response delivery.

Dvz | Python Architect@PythonDvz

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Prompt

// Production-Grade Hybrid RAG & Semantic Cache Schema
// Clean top-down vertical flow without word-wrap glitches

direction down

1_Client_Ingress_Gateway [icon: globe, color: blue] {
  API Rate Limiter [icon: shield]
  Query Normalizer [icon: filter]
}

2_Semantic_Cache_Fence [icon: database, color: green] {
  Redis Vector Cache [icon: zap]
  Cosine Similarity Check [icon: check-circle]
}

3_Hybrid_Retrieval_Engine [icon: layers, color: purple] {
  Qdrant Vector Search [icon: cpu]
  BM25 Keyword Index [icon: search]
  Cross Encoder Reranker [icon: sliders]
}

4_LLM_Inference_Guard [icon: server, color: orange] {
  Context Compactor [icon: minimize-2]
  Hallucination Fence [icon: lock]
  SSE Stream Dispatcher [icon: radio]
}

5_Client_Response_Sink [icon: monitor, color: cyan] {
  Fast Cache Return [icon: check]
  Live Token Stream [icon: activity]
}

1_Client_Ingress_Gateway > 2_Semantic_Cache_Fence: "1. Normalized Embedding"
2_Semantic_Cache_Fence > 5_Client_Response_Sink: "2a. Cache Hit (>0.92) -> <50ms"
2_Semantic_Cache_Fence > 3_Hybrid_Retrieval_Engine: "2b. Cache Miss -> Parallel Fetch"
3_Hybrid_Retrieval_Engine > 4_LLM_Inference_Guard: "3. Top-K Reranked Context"
4_LLM_Inference_Guard > 5_Client_Response_Sink: "4. Verified SSE Stream & Cache Sync"