negative caching

**Negative Caching** in RAG (Retrieval-Augmented Generation) stores query-document pairs that resulted in no relevant matches to avoid repeated futile searches. ## What Is Negative Caching? - **Purpose**: Cache "no results found" responses for repeated queries - **Mechanism**: Store query fingerprints with negative hit flags - **Benefit**: Reduces unnecessary retrieval calls and latency - **TTL**: Time-limited to allow index updates to take effect ## Why Negative Caching Matters Without negative caching, repeated queries for non-existent information trigger expensive retrieval operations every time. ```svg RAG with Negative Caching:First Query: "Quantum teleportation protocol specs" [Vector Search] No relevant docs [Add to negative cache] Second Query: "Quantum teleportation protocol specs" [Check negative cache] HIT [Skip retrieval, return cached "no docs"] Saves: Vector DB query + embedding computation ``` **Implementation Considerations**: | Parameter | Typical Value | Reason | |-----------|---------------|--------| | Cache TTL | 1-24 hours | Allow index updates | | Key format | Query hash | Exact match lookup | | Max entries | 10K-100K | Memory budget | | Invalidation | On index update | Freshness |

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