仓库已标记为 Deprecated,官方已转向 SIE 推理引擎,新项目不建议依赖;采用 CC BY-NC-SA 4.0 许可,禁止商业使用;README 未给出安装或运行方式,需自行查阅外部链接
VectorHub
superlinked活跃维护已归档的历史仓库,原用于向量检索与向量数据库的教程和工具集;团队现已转向自托管推理引擎 SIE,覆盖嵌入、重排、OCR 与文档处理。
Deprecated historical repo. Superlinked now develops SIE, a self-hosted inference engine for embeddings, reranking, OCR, extraction, and document processing.
已归档的向量检索学习资料库,帮你把向量检索加进 ML 栈
已归档的历史仓库,原用于向量检索与向量数据库的教程和工具集;团队现已转向自托管推理引擎 SIE,覆盖嵌入、重排、OCR 与文档处理。
核心能力
- 提供向量检索入门学习材料,快速搭建 MVP
- 按用例讲解向量检索中的具体难题
- 指导把 MVP 推进到生产可用
- 介绍向量数据库厂商并辅助选型
- 附带开源的向量数据库功能对比工具
容易踩的坑
暂无 release 数据(可能没有发版,或尚未同步)。
用户点评
登录用户的真实使用记录,可按版本和硬件筛选还没有人点评。第一个说出真实体验的人最有价值。
VectorHub
VectorHub is a free and open-sourced learning hub for people interested in adding vector retrieval to their ML stack. On VectorHub you will find practical resources to help you -
- Create MVPs with easy-to-follow learning materials
- Solve use case specific challenges in vector retrieval
- Get confident in taking their MVPs to production and making them actually useful
- Learn about vendors in the space and select the ones that fit their use-case
Read more about our philosophy in our Manifesto.
Tools by VectorHub
Vector DB Comparison is a free and open source tool from VectorHub to compare vector databases. It is created to outline the feature sets of different VDB solutions. Each of the features outlined has been verified to varying degrees.
Contributing
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
