<!– generated-by: gsd-doc-writer –> CLI Reference =============

Embenx provides a powerful Command Line Interface (CLI) for benchmarking, setup, and ecosystem interaction.

General Commands¶

info¶

Display system information and status of installed vector backends.

embenx info

Verify environment health and dependency availability.

embenx check

Setup the environment and pull specific models (for Ollama).

embenx setup --model ollama/nomic-embed-text --pull

Run performance benchmarks on local Parquet files or remote datasets.

embenx benchmark data.parquet --indexers faiss,usearch,opensearch --max-docs 1000 --report

Run comprehensive benchmarks across all datasets in the Retrieval Zoo and generate a Grand Technical Report.

embenx grand-benchmark --indexers faiss,scann,hnswlib,opensearch

List all available indexing configurations supported by Embenx.

embenx list-indexers

Start the Model Context Protocol (MCP) server to connect AI agents to your vector memory.

embenx mcp-start

Launch the Streamlit web UI for data visualization and HNSW graph inspection.

embenx explorer

List available pre-indexed collections in the cloud zoo.

embenx zoo-list

Download and load a pre-built collection into local cache.

embenx zoo-load squad-v2

Remove temporary benchmark artifacts and database files to free up space.

embenx cleanup

Initialize the Embenx skill for Gemini CLI sub-agents (creates SKILL.md).

embenx init-skill