Comments (1)
Aloxaf
commented on August 23, 2024
If you have a lots of RAM or the dataset is small, HNSW is the best option, it is a very fast and accurate index. The 4 <= M <= 64 is the number of links per vector, higher is more accurate but uses more RAM. The speed-accuracy tradeoff is set via the efSearch parameter. The memory usage is (d * 4 + M * 2 * 4) bytes per vector.
根据 faiss wiki 的说法，HNSW 仅用于内存很大且数据集很小的情况。按这段文字所给的数据，取 M = 16，则每个向量会占用 160byte，这是当前方法内存占用的 5 倍。
不过代替 Flat 用作 quantizer 倒是可以考虑。
from imsearch.
Related Issues (14)
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from imsearch.