Image search (CLIP + Qdrant, Rust)

Rust port of the Python image_search example. Embeds images with the CLIP ViT-B/32 vision tower and indexes them in Qdrant; queries embed text with the matching CLIP text tower (same 512-dim space), so you can search images by natural language.

Both embedders run locally via fastembed (ONNX, no Python) — the vision tower through cocoindex::ops::image::ImageEmbedder and the text tower through cocoindex::ops::sentence_transformers.

Prerequisites

A running Qdrant (gRPC on :6334):
bash
```
docker run -p 6333:6333 -p 6334:6334 qdrant/qdrant
```
Override with QDRANT_URL (default http://localhost:6334).
protoc on PATH (the qdrant-client crate compiles protobufs).
Some images in img/ (.jpg/.jpeg/.png/.webp/.gif/.bmp). The CLIP ONNX models are downloaded automatically on first run.

Run

bash

# Index every image under img/ (or a directory you pass).
cargo run -- index            # defaults to ./img
cargo run -- index /path/to/images

# Search by text — CLIP text vector against indexed image vectors.
cargo run -- query "a dog on a beach"

Re-running index is incremental: unchanged images are memo-skipped and removed images are deleted from the collection.