jina-ai

jina-ai / jina-grep-cli

Public

Semantic grep powered by Jina embeddings v5 (MLX on Apple Silicon)

jina.ai apple-silicon cli embeddings grep jina
133
6
100% credibility
Found Feb 26, 2026 at 50 stars 3x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A command-line tool that enhances file searching with natural language understanding, reranking keyword results, and automatic classification, running entirely locally on Apple Silicon Macs.

How It Works

1
🔍 Discover smarter search

You hear about jina-grep, a tool that finds stuff in your files by understanding what you mean, not just exact words.

2
💻 Set it up on your Mac

You grab it and prepare it on your Apple Silicon Mac – it only takes a minute.

3
🧠 Wake the thinking helper

You turn on the local brain that makes searches smart; it grabs what it needs the first time and runs quietly in the background.

4
Pick your search way
📥
Boost regular finds

Take results from a simple word search and reorder them by true meaning.

🗂️
Ask in plain words

Type a question like 'memory leak fixes' and search folders directly.

🏷️
Sort into buckets

Give categories like 'bug' or 'feature' to label lines automatically.

5
💭 Describe what you want

Use everyday language for your question or list simple labels – feels like chatting.

6
📊 See smart matches

Results pop up ranked by how well they fit, with scores and nearby lines for context.

🎉 Searches transformed

Now you quickly spot the perfect code or text every time, all speedy and private on your own Mac.

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AI-Generated Review

What is jina-grep-cli?

jina-grep-cli is a Python CLI that turns traditional grep into semantic search powered by Jina embeddings v5 and MLX on Apple Silicon. Pipe grep output for reranking—like `grep "error" src/ | jina-grep "error handling logic"`—or query files directly with natural language, such as `jina-grep "retry with exponential backoff" *.py`. It also supports zero-shot classification, tagging lines as "bug", "feature", or custom labels from a file.

Why is it gaining traction?

It mimics grep flags (-r, -n, --threshold) while adding semantic superpowers for grep semantic search, skipping regex pitfalls in github semantic commit messages or semantic versioning audits. Local MLX server delivers single queries in 3-7ms and 25K+ tok/s batches on M3, no cloud or PyTorch needed. Grep semantic version checks and semantic github commits become effortless.

Who should use this?

Apple Silicon devs sifting large codebases for fuzzy patterns like "database connection pooling" without exact strings. Teams validating github semantic release actions, semantic github commits, or grep semantic version compliance. QA engineers classifying logs or code changes into bug/feature/docs buckets.

Verdict

Promising alpha (34 stars, 1.0% credibility) with crisp docs and benchmarks, but unproven maturity means watch for edge cases. Grab it for Apple-local semantic grep github workflows; hold off if you need cross-platform stability.

(178 words)

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