cercano-extract

You can extract targeted information locally by running a Cercano server connected to an Ollama instance. It processes your text and query on-device, returning only the relevant items to minimize data transfer and analysis time.

To pull function signatures and API endpoints, provide your text and a specific query to the cercano_extract tool. It uses local AI inference to return only the relevant sections needed for debugging or integration.

Yes, you need an Ollama instance to perform local AI inference. The extraction process requires a Cercano server connected to Ollama to run the cercano_extract tool and process your text and query locally.

The best way to extract config values and error messages is using local-first processing. By applying user-defined queries to your text with Cercano, you retrieve exact information for auditing or debugging without uploading data.

Yes, you can use flexible queries to extract different information from the same log file. The extraction supports user-defined queries, allowing you to tailor results specifically to debugging, integration, or auditing tasks.

A limitation of local AI inference for extracting text is the hardware requirement. You must maintain a running Cercano server connected to an Ollama instance, and all extraction is bounded by the local machine's processing capacity.