什么是向量数据库 ？| What is a Vector Database?_vector database wiki

目录

What’s the difference between a vector index and a vector database?矢量索引和矢量数据库有什么区别？

How does a vector database work?矢量数据库如何工作？

Algorithms

Random Projection

Product Quantization 产品量化

Locality-sensitive hashing 对位置敏感的哈希

Hierarchical Navigable Small World (HSNW)分层导航小世界 （HSNW）

Similarity Measures 相似性度量

Filtering

Database Operations 数据库操作

Monitoring

Access-control

Backups and collections 备份和集合

API and SDKs 接口和软件开发工具包

Summary

向量数据库与搜索引擎（比如说ElasticSearch)有什么区别？ 

1. 存储结构

2. 查询方式

3. 应用场景

We’re in the midst of the AI revolution. It’s upending any industry it touches, promising great innovations - but it also introduces new challenges. Efficient data processing has become more crucial than ever for applications that involve large language models, generative AI, and semantic search.

我们正处于人工智能革命之中。它颠覆了它所接触的任何行业，承诺了伟大的创新 - 但它也带来了新的挑战。对于涉及大型语言模型、生成式 AI 和语义搜索的应用程序，高效的数据处理变得比以往任何时候都更加重要。

All of these new applications rely on vector embeddings, a type of data representation that carries within it semantic information that’s critical for the AI to gain understanding and ma