Learn vector search with Rust and DataFusion; the C++/BusTub track is deprecated.
📚 从零开始的向量数据库原理与实践教程，在线阅读地址：https://easy-vecdb.datawhale.cc/
NeuronDB PostgreSQL extension: vector similarity search (HNSW, IVFFlat), embeddings, kNN, ML in SQL, and hybrid full-text + vector retrieval.
This project uses Python, Hugging Face (sentence-transformers), Milvus + Docker (container running Vector DB) to create a vector database, populate it with details of many people (names, ages, salaries, addresses and their introductions) and enable searching and querying on the database contents using Cosine-Similarity distances on IVF Flat index.
CLI benchmark for pgvector — measure HNSW/IVFFlat latency (p50/p95/p99), throughput, and recall@k. Single Go binary, interactive wizard, HTML report. MIT.
Hypothetical IVFFlat indexes for pgvector: test planner choices in EXPLAIN without building a physical index
A C++ implementation of efficient Nearest Neighbor search algorithms (LSH, Random Projection Hypercube, IVFFlat, and IVFPQ) optimized for high-dimensional datasets like SIFT and MNIST.
ANN search in high dimensions!
This project uses Python, Hugging Face (sentence-transformers), Milvus + Docker (container running Vector DB) to create a vector database, populate it with details of many people (names, ages, salaries, addresses and their introductions) and enable searching and querying on the database contents using Cosine-Similarity distances on IVF Flat index.
Lab: measure how pgvector HNSW ef_search trades latency for recall (FastAPI + Docker, no embedding API keys). make demo → chart.
Comparison of IVFFlat and HNSW Algorithms
《数据库系统设计实践》MiniOB 向量检索系统：VECTOR 内核扩展、Flask 网关与 React 可视化界面
Production field guide to pgvector index management & embedding-pipeline optimization on PostgreSQL — HNSW/IVFFlat tuning, ingestion pipelines, and monitoring. Live at www.index-management.org
VoxRAG is a voice- and text-enabled Retrieval-Augmented Generation system built on MSMARCO-XI.
Reproducible, falsifiable performance benchmarking for TheoDB. Immutable run bundles, versioned schemas, paired significance testing — evidence, not wins.
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