zvec-ai

🚀 Zvec-grep 0.3.0 is here — rebuilt in Rust.

Local search for developers and AI agents, now with less waiting and a lighter footprint.

⚡ Less time indexing
Across four BEIR datasets, total index build time dropped from 219 s to 78 s—about 65% less time than the Node.js version.

🪶 Lower memory use
Average peak indexing memory fell by 53%, leaving more room for your editor, agents, and other tools.

🔎 Smoother everyday use
An rg-inspired CLI, clearer model selection and indexing progress, plus fixes for file tracking, result locations, and index management.

🤖 More agent integrations
Now supports GitHub Copilot, Grok Build, VS Code, and Pi, alongside existing integrations.

Try it in your workspace and tell us how it goes.

zvec.org/en/blog/2026-1…

Zvec v0.8.0 is here! 🎉

This release brings broader platform support, faster queries, lower index build costs, and easier setup. Upgrade and give it a try!

✨ What’s new:

🌍 Broader platform support: Added Intel Mac and Windows ARM64 builds, wheels, and SDKs; extended DiskANN to Windows, Android, and iOS, and RaBitQ to Windows x86_64.

📚 Chinese search ready to use: Embedded the default Jieba dictionary and HMM model—no separate dictionary files or path configuration needed.

🛠️ Lower index build costs: Reduced peak memory during IVF / DiskANN builds and merges, accelerated HNSW RaBitQ construction, and tightened enforcement of configured thread limits.

⚡ Faster queries: Extensively refactored quantizers and distance calculations across multiple quantization types and metrics, with major improvements to INT4 kernels and Linux ARM64 performance.

🚀 More ways to accelerate search: Added faster Uniform quantizers and optimized Vamana graph layout and prefetching, offering more options to tune speed and recall.

🔧 Usability and stability improvements: Added more flexible UTF-8 document IDs and fixed concurrent reads during segment switches, index rebuilding with deleted rows, and correctness issues in LIKE and floating-point range filters.

📄 Release Notes: zvec.org/en/blog/2026-1…

🚀 Zvec × DocIterator: Search It. Move It.

Merge embeddings, organize agent memory, or migrate collections with full-collection streaming in Zvec v0.7.0.

✅ Consistent view: Traverse data while queries and writes continue.
⚡ Low memory: Read documents one window at a time, with only the fields you need.
🔧 Easy export: Use the SDK for pipelines or Zvec Studio for export and migration.

📖 Read the full article:
zvec.org/en/blog/2026-0…

🚀 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 on-device by default, keeping your code and documentation private and secure.
　
⚡️ Ready in three steps: Install zg, index your workspace, and connect your agent. zg automatically configures supported agents and runs across macOS, Linux, and Windows.
　
🔎 Comprehensive search: Semantic search, BM25, hybrid retrieval, and rg work together across code, documentation, and data.
　
🤖 More efficient agents: On SWE-QA-Bench, tool calls and input tokens were both reduced by roughly half, while the judge score improved by 1.50 points.
　
GitHub: github.com/zvec-ai/zvec-g…
Blog: zvec.org/en/blog/2026-0…
　
zg is still evolving. Try it, star the repo, and share your feedback—every suggestion helps make it better. ⭐️

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. It combines semantic search, BM25, and rg to find code and documents faster—with fewer search rounds, tokens, and less time spent.

🔗 ReMe integration
Zvec can now serve as a file-store backend for ReMe, providing in-process HNSW ANN search for agent memory management.

🚀 Production-ready DiskANN
Now supports Linux ARM64, macOS ARM64, and io_uring asynchronous I/O—with automatic fallback to the best available backend.

⚡ Upgraded index algorithms
Introduces the new IVF-RaBitQ index. RaBitQ now supports runtime AVX2/AVX512 dispatch, automatically selecting the optimal path for each CPU.

📦 Better deployment experience
macOS ARM64 C API library reduced from 37 MB to 22 MB—40% smaller
New musl libc and Alpine Linux support
Prebuilt SDK binaries for Linux, macOS, Windows, Android, and iOS with every release

🛠️ Improved usability
New DocIterator for streaming full-collection document traversal
New N-gram tokenizer for phrase, code, and short-text search

📚 Learn more
zvec.org/en/blog/2026-0…

We’d love to hear your feedback! 🚀