A Cross-platform LLMs Desktop Client
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5ire.mp4
We have integrated the bge-m3 as our local embedding model, which excels in multilingual vectorization. 5ire now supports parsing and vectorization of docx, xlsx, pptx, pdf, txt, and csv documents, enabling storage of these vectors to power robust Retrieval-Augmented Generation (RAG) capabilities locally.
By keeping track of your API usage and spending, you can gain a better understanding of how much you're spending on the API and make informed decisions to optimize your use of the service.
The prompt library provides an effective way to create and organize your own prompts. These prompts are highly versatile, thanks to their support for variables.
You can bookmark each conversation, and even if the original messages are deleted, the saved bookmarked content remains unaffected.
You can perform keyword searches across all conversations, quickly pinpointing the information you need.
Tip
Since 5ire uses native dependencies, it needs to be packaged on the corresponding platform. If it is on Mac OS, you may also need to configure APPLE_TEAM_ID, APPLE_ID, and APPLE_ID_PASS for notarization to avoid security alerts.
5ire is licensed under the GNU General Public License version 3.