Tech Blog
Semantic Caching Algorithmic Overview
Proxati's LLM proxy improve application response-time and cost with an optional semantic cache powered by two state-of-the-art matching and ranking algorithms HyDE and ColBERT.
HyDE: Initial Retrieval
HyDE (Hybrid Dual Encoder) encodes incoming queries and compares them to cached query encodings in a vector database. This process retrieves multiple top-k similar cached responses, minimizing the need to process repeated queries with the LLM, which improves efficiency and reduces API costs.
ColBERT: Reranking
ColBERT (Contextualized Late Interaction over BERT) refines these retrieved results by performing a detailed contextual analysis between the query and each candidate response. This reranking process ensures that the most relevant answers are prioritized. For a deeper dive into ColBERT, refer to the research paper.
Combined Workflow
HyDE encodes and retrieves top-k similar cached responses.
ColBERT reranks these responses for precise relevance.
This integration optimizes query handling by reducing latency and improving response accuracy. By leveraging HyDE for efficient retrieval and ColBERT for contextual ranking, Proxati's semantic cache ensures that users receive the most relevant and timely responses.
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