zvec-ai

@ZvecAI

⚡ Lightning-fast, lightweight embedded vector DB. 🚀 High performance made simple. - Github: github.com/alibaba/zvec - Discord: discord.gg/rKddFBBu9z

zvec.org

Joined February 2026

zvec-ai
@ZvecAI
Aug 4
🚀 Zvec × DiskANN: Scale to Hundreds of Millions of Vectors Without Burning Through RAM Traditional in-memory vector indexes become extremely expensive at scale, often forcing teams to upgrade to high-end servers and undermining the promise of lightweight deployment. ✅ Lower
DiskANN: Scaling Vector Databases to Hundreds of Millions of Vectors
From zvec.org
zvec-ai
@ZvecAI
Jul 24
🎉 Zvec 0.6.0 Release is Live! This release brings major upgrades across retrieval, compute optimization, deployment experience, and the quantization framework. Upgrade and give it a try! ✨What's new: • 🔍Retrieval: New Group-By search with per-group Top-K support,
Announcing Zvec v0.6.0
From zvec.org
zvec-ai
@ZvecAI
Jul 11
🚀 New blog post: Zvec now has native full-text search With v0.5.0, Zvec can handle keyword recall, BM25 scoring, phrase queries, Boolean queries, and FTS × vector hybrid search inside the same embedded vector database. No separate Elasticsearch sidecar. No dual writes. No
When Vectors Meet Keywords: The Design and Implementation of Zvec Native Full-Text Search
From zvec.org
zvec-ai
@ZvecAI
Jul 8
📱What if your phone could search its own memory? To explore Zvec Flutter SDK on mobile, we built PocketSearch: an on-device search app that starts with intelligent local photo search on Android and iOS. It shows how Zvec can power fast, local retrieval today, and points toward
Zvec on Mobile: On-Device Intelligent Photo Search
From zvec.org
zvec-ai
@ZvecAI
Jun 15
🎉 Zvec 0.5.0 Release is Live! This release focuses on retrieval, indexing, ecosystem, and platform & hardware. Give it a try and let us know what you think! ✨ ✨ What's new: • 🔍 Retrieval: Native full-text search works out of the box; a single query fuses full-text
Announcing Zvec v0.5.0
From zvec.org