# accuracy

> Browse 3 items tagged with accuracy.

## Items

- [Cross-Encoder Reranking](https://vectordb.ever.works/items/cross-encoder-reranking) — Two-stage retrieval where initial results from bi-encoder vector search are reranked using more expensive cross-encoder models for higher accuracy. Used in Hindsight and other systems.
- [Contextual Retrieval](https://vectordb.ever.works/items/contextual-retrieval-anthropic) — A RAG enhancement technique from Anthropic that adds chunk-specific explanatory context to each document chunk before embedding. Contextual Retrieval reduces retrieval failure rates by 49% and improves accuracy by 67% compared to traditional RAG methods.
- [Optimized Product Quantization (OPQ)](https://vectordb.ever.works/items/optimized-product-quantization-opq) — Optimized Product Quantization (OPQ) enhances Product Quantization by optimizing space decomposition and codebooks, leading to lower quantization distortion and higher accuracy in vector search. OPQ is widely used in advanced vector databases for improving recall and search quality.

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