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Semantic code search for AI — ripgrep speed with tree-sitter AST parsing.
★ 722 starsApache-2.0
View guide →zvec-grep (zg): one local CLI unifying ripgrep-style exact search, BM25, and semantic vector search
zvec-grep is an open-source dev tools project by zvec-ai (zvec-ai/zvec-grep on GitHub). It has 3,994 GitHub stars and 235 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 8 October 2026.
Choose the codebase or document set you want searchable by meaning, not just by string.
Install the CLI globally from npm (Node.js 22+).
Run zg index with a local embedding model to create the .zvec-grep/ index.
Query with --human for readable, cited results, or wire zg into your agent via its installer/MCP tools.
Exact (ripgrep-style), BM25, and vector/semantic search behind a single interface.
Symbol-aware code search plus document and structured-data search.
Ranked answers link back to source files and lines.
Indexes live in .zvec-grep/; local embedding models keep data on your machine by default.
One-command installs into agent tools (for example OpenCode) and MCP tool exposure.
Index once, then query repeatedly without re-embedding the corpus.
Clone the project and enter its directory (CLI users can install from npm instead).
git clone https://github.com/zvec-ai/zvec-grep.git
cd zvec-grepInstall zg globally from npm (Node.js 22+ required).
npm install -g @zvec/zvec-grepBuild an index with a local embedding model, then ask a question.
zg index --embedding local/potion-retrieval-32m
zg query --human "where is authentication handled?" --limit 3zvec-ai develops zvec-grep (the zvec vector-search project team).
Yes, Apache-2.0 licensed and local-first.
No — local embedding models are supported and are the default posture; remote embeddings are used only with your permission.
ripgrep finds exact strings. zg keeps that, adds BM25 ranking and semantic vector search, and returns ranked results with citations — at the cost of building an index first.
Run `npm install -g @zvec/zvec-grep`, `zg index` in your project, then `zg query --human "your question"`.
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