cqs 0.19.5

Code intelligence and RAG for AI agents. Semantic search, call graphs, impact analysis, type dependencies, and smart context assembly — in single tool calls. 20 languages, 90.9% Recall@1, 0.951 NDCG@10. Local ML, GPU-accelerated.
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# Privacy


## Data Stays Local


cqs processes your code entirely on your machine. Nothing is transmitted externally.

- **No telemetry**: We collect no usage data
- **No analytics**: No tracking of any kind
- **No cloud sync**: Index stays in your project directory

## What Gets Stored


When you run `cqs index`, the following is stored in `.cqs/index.db`:

- Code chunks (functions, methods, documentation sections)
- Embedding vectors (769-dimensional floats: 768 from E5-base-v2 + 1 sentiment dimension)
- File paths and line numbers
- File modification times

This data never leaves your machine.

## Model Download


The embedding model is downloaded once from HuggingFace:

- Model: `intfloat/e5-base-v2`
- Size: ~440MB
- Cached in: `~/.cache/huggingface/`

HuggingFace may log download requests per their privacy policy. After download, the model runs offline.

## CI/CD


If you fork or contribute to the cqs repository:

- GitHub Actions runs tests on push/PR
- Code is processed on GitHub-hosted runners
- No index data is uploaded (only source code)
- See GitHub's privacy policy for runner data handling

## Deleting Your Data


To remove all cqs data:

```bash
rm -rf .cqs/                          # Project index
rm -rf ~/.local/share/cqs/refs/       # Reference indexes
rm -rf ~/.config/cqs/projects.toml    # Project registry
rm -f ~/.config/cqs/config.toml       # User configuration
rm -f .cqs.toml                       # Project config
rm -f docs/notes.toml                 # Project notes
rm -rf ~/.cache/huggingface/          # Downloaded model
```