Guide Outlines C# Techniques for High-Throughput RAG Pipelines and Vector Database Tuning

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A DEV Community article presents an architectural blueprint for building high-throughput agentic and retrieval-augmented generation pipelines in C#. It covers vector database tuning, including IVF cluster parameters such as nlist and nprobe, alongside HNSW indexing. The piece explains how Span, ReadOnlySpan, and pooled memory buffers can reduce garbage collection overhead during heavy vector operations. It also includes a SIMD-accelerated cosine similarity example and describes a two-tier L1/L2 caching model to limit redundant similarity queries. The author reports benchmark results indicating a reported throughput gain of about 4.8x over default settings when HNSW tuning and caching are combined.

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ProgrammingDEV Community ·

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