bm25s
Fast BM25 search in Python, powered by Numpy and Numba
About
Welcome to bm25s, a library that implements BM25 in Python, allowing you to rank documents based on a query. BM25 is a widely used ranking function used for text retrieval tasks, and is a core component of search services like Elasticsearch.
Open Source Health
- Stars
- 1,783
- Forks
- 103
- License
- MIT
- Last commit
- 1 months ago
Resources & Links
Related Categories
Vendor
Xing Han Lu
I'm sorry. I like working on projects. It's just a lot of pressure
Quick Links
Open Source
Related Products
Private Gpt
Complete API layer for private AI applications on local models: RAG, skills, tools, MCP, text-to-sql, and more. Works with any OpenAI-compatible inference server.
Top category match
PixelRAG
The end of web parsing. The beginning of scalable pixel-native search. link
Top category match
TrustRAG
TrustRAG:The RAG Framework within Reliable input,Trusted output
Top category match
RAG-Anything
"RAG-Anything: All-in-One RAG Framework"
Top category match
Easy Vecdb
📚 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/
Top category match