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Retrieval2 articles

Retrieval

Articles

  • Contextual Retrieval in Production RAG: Architecture, Prompt Caching Economics, Hybrid Fusion, and Reranking Pipelines

    Contextual Retrieval in Production RAG: Architecture, Prompt Caching Economics, Hybrid Fusion, and Reranking Pipelines Standard Retrieval-Augmented Generation (RAG) architectures suffer from an inherent design flaw at the preprocessing stage: chunking destroys document hierarchy. When a system divides a large document corpus into fixed-size passages (such as 300 to 800 tokens) or applies semantic boundaries, the resulting chunks lose their surrounding narrative, parent headings, entity definiti

    1 min

  • Late Interaction and ColBERT: How Multi-Vector Embeddings and the MaxSim Operator Transform Neural Retrieval

    Information retrieval systems have long wrestled with a fundamental tension between computational efficiency and semantic expressiveness. Traditional dense bi-encoders like DPR compress an entire passage into a single dense vector, allowing sub-linear approximate nearest neighbor (ANN) search over millions of documents. However, forcing multi-sentence passages into a single vector representation creates an information bottleneck that discards fine-grained token-level nuances, entities, and keywo

    1 min