vexor 0.1.2

A vector-powered CLI for semantic search over filenames.

Vexor

Vexor is a vector-powered CLI that searches file names semantically. It uses Google GenAI's gemini-embedding-001 model to embed file names and queries, then ranks matches with cosine similarity.

Install

pip install -e .

The CLI entry point is vexor (or python -m vexor).

Configure

Set the Gemini API key once and reuse it everywhere:

vexor config --set-api-key "YOUR_KEY"

Optional defaults:

vexor config --set-model gemini-embedding-001
vexor config --set-batch-size 0   # 0 = single request

Configuration is stored in ~/.vexor/config.json.

Workflow

1. Index the project root (includes every subdirectory):

   vexor index --path ~/projects/demo --include-hidden
   

2. Search from anywhere, pointing to the same path:

   vexor search "api client config" --path ~/projects/demo --top 5
   

   Output example:

   Vexor semantic file search results
   ──────────────────────────────────
   1   0.923   ./src/config_loader.py
   2   0.871   ./src/utils/config_parse.py
   3   0.809   ./tests/test_config_loader.py
   

Tips:

• Keep one index per project root; subdirectories need separate indexes only if you explicitly run vexor index on them.
• Hidden files are included only if both index and search use --include-hidden.

Commands

Command	Description
vexor index --path PATH [--include-hidden]	Recursively scans PATH, embeds file names, and writes a cache under ~/.vexor.
vexor search QUERY --path PATH [--top K] [--include-hidden]	Loads the cached embeddings for PATH and ranks matches for QUERY.
vexor config --set-api-key/--clear-api-key	Manage the stored Gemini API key.
vexor config --set-model/--set-batch-size/--show	Manage default model and batch size.

Development

Run tests with:

pip install -e .[dev]
pytest

Tests rely on fake embedding backends, so no network access is required.

Cache files and configuration live in ~/.vexor. Adjust _label_for_path or VexorSearcher._prepare_text if you need to encode additional context (e.g., relative paths).