Optimize Vector Databases, Enhance RAG-Driven Generative AI

This post details optimizations in Milvus's write path to reduce memory movement overhead in the datanode buffer write. It describes how the merge logic allocates a new buffer to hold old and new data, leading to progressively larger buffers and slower data movement. The post also discusses the use of Linux 'perf' and Intel® vTune™ Profiler for low-level performance analysis, and highlights the importance of realistic datasets and benchmarking frameworks like VectorDBBench and vector-db-benchmark for evaluating vector database performance.