📚 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/
-
Updated
Jun 1, 2026 - Jupyter Notebook
📚 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.
CLI benchmark for pgvector — measure HNSW/IVFFlat latency (p50/p95/p99), throughput, and recall@k. Single Go binary, interactive wizard, HTML report. MIT.
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.
Comparison of IVFFlat and HNSW Algorithms
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.
《数据库系统设计实践》MiniOB 向量检索后端:VECTOR 类型、距离函数、ORDER BY/LIMIT、IVF_Flat 索引与 VECTOR_INDEX_SCAN
ANN search in high dimensions!
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.
Tune pgvector RAG retrieval latency in PostgreSQL: measure HNSW ef_search and IVFFlat probes with FastAPI, YAML profiles, telemetry, and benchmarks.
Add a description, image, and links to the ivfflat topic page so that developers can more easily learn about it.
To associate your repository with the ivfflat topic, visit your repo's landing page and select "manage topics."