@HowToPrompt__: China open-sourced a vector database that destroys Pinecone, Chroma, and Weaviate. It's called Zvec, an in-process vect…
Summary
China open-sourced Zvec, an in-process vector database that runs inside apps without servers, supporting billions of vector searches in milliseconds and battle-tested at Alibaba scale.
View Cached Full Text
Cached at: 06/15/26, 01:04 PM
China open-sourced a vector database that destroys Pinecone, Chroma, and Weaviate.
It’s called Zvec, an in-process vector database that runs directly inside your app.
No servers. No config. No $200/month bill.
→ Searches billions of vectors in milliseconds → pip install zvec and you’re done → Battle-tested inside Alibaba at production scale → Works on Linux, macOS, Windows, even iOS
100% Open Source.
Similar Articles
@shedntcare_: BREAKING: Alibaba just dropped a vector database that could change RAG forever. Meet Zvec No server. No Docker. No clou…
Alibaba released Zvec, a fully open-source vector database (Apache 2.0) that can be installed via pip and supports dense, sparse, and hybrid search for RAG applications, processing billions of vectors in milliseconds.
alibaba/zvec
Alibaba releases Zvec v0.5.0, an open-source in-process vector database with new features including full-text search, hybrid retrieval, DiskANN index, and new SDKs for Go, Rust, plus a visual tool.
@HowToPrompt__: Vector databases are officially cooked This repo shrinks 60 million text chunks from 201 GB to just 6 GB without any lo…
A new open-source repo compresses 60 million text chunks from 201 GB to 6 GB with zero loss in accuracy, making vector databases potentially obsolete for many use cases.
Vector by zauth
Zauth launches Vector, a tool promising accessible AI security for web applications.
@HowToPrompt__: The entire vector database industry just got destroyed by A free tool from 1974. For the last two years, every company …
Researchers report that the classic grep command outperforms modern vector databases in retrieval tasks for autonomous AI agents, challenging the prevailing RAG infrastructure approach.