Zim

About

Zim allows large language models to directly access and search content within ZIM files, which are compressed archives commonly used for offline storage of Wikipedia and other large knowledge resources. This server provides the ability to use local AI models for question answering and information retrieval from these offline knowledge resources, even without network access. It includes functionalities for listing available ZIM files, searching for specific content within them, and retrieving detailed content from individual entries.

Key Features

• Allows setting a maximum content length for retrieved entries.
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• Lists available ZIM files in specified directories.
• Searches for content within ZIM files using a query.
• Retrieves detailed content from specific entries within a ZIM file.
• Supports configurable result limits and offsets for search queries.

Use Cases

• Offline question answering using local AI models.
• Information retrieval from Wikipedia and other knowledge resources without internet access.
• Integration with AI tools like Claude and DeepChat for enhanced knowledge access.