5ire: cross-platform large model desktop client with support for local vector knowledge bases

General Introduction

5ire is an open source cross-platform big model desktop client designed to provide users with convenient local vector knowledge base management and big model interaction capabilities. The software supports parsing and vectorized storage of multiple document formats, with powerful retrieval-enhanced generation (RAG) capabilities. In addition, 5ire provides usage analysis, hint thesaurus, bookmarks, and quick keyword search to help users manage and utilize big model resources more efficiently.

Function List

• Local vector knowledge base (Xenova/bge-m3): Supports parsing and vectorized storage of multiple document formats such as docx, xlsx, pptx, pdf, txt and csv.
• utilization analysis: Track API usage and costs to help users optimize service usage.
• thesaurus: Support for custom variable cue words for easy creation and organization.
• Bookmark function: Bookmarks can be added to each conversation, so that the bookmark content remains even if the original message is deleted.
• Quick Keyword Search: Perform keyword searches in all conversations to quickly locate the information you need.

Using Help

Installation process

1. Download & Installation::
   • interviews5ire GitHub pageThe
   • Select the appropriate installation package to download according to your operating system.
   • Windows users run the installer and follow the prompts to complete the installation.
   • Mac OS users need to configureAPPLE_TEAM_ID,APPLE_IDcap (a poem)APPLE_ID_PASSPerform signing and authentication to avoid security warnings.
2. Configuration and Startup::
   • Once the installation is complete, launch the 5ire application.
   • On first startup, follow the prompts for initial configuration, including selection of the embedding model and vector database.

Function Operation Guide

1. Local Vector Knowledge Base::
   • Import documents: Click the "Import" button, select the documents that need to be parsed and vectorized (supports docx, xlsx, pptx, pdf, txt and csv formats).
   • Vectorized storage: Imported documents are automatically parsed and vectorized, and stored in the local database for subsequent retrieval.
2. utilization analysis::
   • View Usage: In the "Usage Analysis" module, you can view the number of API calls and cost statistics to help users understand and optimize API usage.
3. thesaurus::
   • Create a cue word: In the "Cue Word Database" module, click "New Cue Word" and enter the content and variables of the cue word.
   • Organize cue words: cue words can be classified and managed for easy calling in different scenarios.
4. Bookmark function::
   • Add Bookmark: In the dialog, click the "Add Bookmark" button to bookmark important information.
   • Manage Bookmarks: In the "Bookmarks" module, you can view and manage all your bookmarks for quick access to important information.
5. Quick Keyword Search::
   • Keyword Search: Enter a keyword in the search bar, the system will search in all conversations and display relevant results.
   • Locate information: Click on the search results to quickly locate the corresponding dialog content.

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