Setup Environment

Set up the embedding model for semantic search. model2vec-rs downloads models automatically; use when build fails or model download issues occur.

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Environment Setup for Semantic Search

Instructions

glhf uses model2vec-rs with Potion-base-32M for embeddings. The model downloads automatically on first use.

Quick Setup

No manual setup required:

cargo build --release
./target/release/glhf index

The embedding model (~130MB) will download to the HuggingFace cache on first run.

Model Details

Property Value
Model minishlab/potion-base-32M
Dimensions 512
Size ~130MB
Cache Location ~/.cache/huggingface/

Verify Setup

# Run embedding tests
cargo test embed -- --ignored

Common Issues

Error Solution
Failed to load model Check internet connection, model will auto-download
No space left Clear HuggingFace cache: rm -rf ~/.cache/huggingface/
Slow first run Normal - model downloads once, then cached

Skip Embeddings

For text-only search (faster indexing, no model download):

glhf index --skip-embeddings

This enables FTS5 search but disables semantic/hybrid modes.

majiayu000/claude-skill-registry-data/tree/main/data/setup-environment commit 29a1b7ac4e

Frequently asked questions

npx skillmds add majiayu000/setup-environment