Find similar content

Source channel @githubtrending · Post #15494 · Feb 14

#cplusplus#ann_search#embedded_database#rag#vector_search#vectordb Zvec is a lightweight, open-source vector database built on Alibaba's Proxima engine that searches billions of vectors in milliseconds. You can install it instantly with a single command and start using it within seconds—no servers or complex configuration needed. It supports both dense and sparse vector embeddings, hybrid search combining semantic similarity with filters, and runs anywhere your code runs, from notebooks to edge devices. The key benefit is that you get production-grade, low-latency similarity search with minimal setup, making it ideal for AI applications like semantic search, recommendation systems, and retrieval-augmented generation without the overhead of traditional database infrastructure. https://github.com/alibaba/zvec

Hashtags

#cplusplus #ann_search #embedded_database #rag #vector_search #vectordb

Results

1 similar post found

Search: #mdl

当前筛选 #mdl清除筛选

GitHub Trends

@githubtrending · Post #15271 · 11/05/2025, 12:30 PM

Find similar View

#cplusplus#arm#baidu#deep_learning#embedded#fpga#mali#mdl#mobile#mobile_deep_learning#neural_network Paddle Lite is a lightweight, high-performance deep learning inference framework designed to run AI models efficiently on mobile, embedded, and edge devices. It supports multiple platforms like Android, iOS, Linux, Windows, and macOS, and languages including C++, Java, and Python. You can easily convert models from other frameworks to PaddlePaddle format, optimize them for faster and smaller deployment, and run them with ready-made examples. This helps you deploy AI applications quickly on various devices with low memory use and fast speed, making it ideal for real-time, resource-limited environments. It also supports many hardware accelerators for better performance. https://github.com/PaddlePaddle/Paddle-Lite

Hashtags

#cplusplus #arm #baidu #deep_learning #embedded #fpga #mali #mdl #mobile #mobile_deep_learning #neural_network