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zvec-ai
11 posts
@ZvecAI

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
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  • @ZvecAI
    zvec-ai
    @ZvecAI
    Sep 2
    🚀 zg (zvec-grep) is now open source!   We built a local search tool for people and AI agents— indexing and search run on-device by default, combining natural-language understanding with the speed and precision of rg.   🔒 Local-first: File processing, indexing, and search stay
    Image
    GitHub - zvec-ai/zvec-grep: Local-first search across your workspace, built for humans and AI...
    From github.com
    15
  • @ZvecAI
    zvec-ai
    @ZvecAI
    Aug 26
    Zvec v0.7.0 is here! 🎉 This release expands the Zvec ecosystem and brings major upgrades to indexing, deployment, and usability. Upgrade today and give it a try! ✨ What’s new 🧭 zvec-grep (github.com/zvec-ai/zvec-g…) A local-first workspace search CLI for humans and AI agents.
    Image
    GitHub - zvec-ai/zvec-grep: Local-first search across your workspace, built for humans and AI...
    From github.com
  • @ZvecAI
    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
    Image
    DiskANN: Scaling Vector Databases to Hundreds of Millions of Vectors
    From zvec.org
  • @ZvecAI
    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,
    Image
    Announcing Zvec v0.6.0
    From zvec.org
    3
  • @ZvecAI
    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
    Image
    When Vectors Meet Keywords: The Design and Implementation of Zvec Native Full-Text Search
    From zvec.org
    1
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