Rememberizer App
Last updated
Last updated
Rememberizer App is a MacOS desktop application that converts your local files into vector embeddings and uploads them to your Rememberizer's knowledge as a data source. The application enables other LLMs to query your embeddings through Rememberizer's APIs to make answers based on your local files content.
Data Utilization: The application helps you to utilize your local files in a meaningful and productive way. It extracts valuable data from your files and makes it available for machine learning processes.
Ease of Use: The application has a user-friendly interface and it’s easy to install and use. It does all the heavy lifting of converting files and uploading the data, so you don't have to.
Integration: The Rememberizer App seamlessly integrates with other LLMs. This allows them to query your embeddings through Rememberizer's APIs to generate answers based on the content of your local files.
Download a version of Rememberizer App from the links provided here.
Once the download is complete, locate the .dmg file in your downloads folder and double click on it.
Drag the Rememberizer App into your Applications folder when the new window opens.
Go to your Applications folder and click on the Rememberizer App to open it.
Sign In: To use the Rememberizer App, you need to sign in using your Rememberizer account. If you do not have a Rememberizer account, you'll need to create one.
Add Folders to the Data Source: Once you have signed in, the Rememberizer App will begin operating in the background. You can access it by clicking the small icon located in the status bar, as illustrated below. For first-time use, you will need to add folders to the data source. This enables the Rememberizer App to convert files within those folders into vector embeddings and upload them to your Rememberizer Knowledge.
Embedding And Uploading: The software will seamlessly integrate these vector embeddings into your Rememberizer Knowledge database. Track the upload process via the Rememberizer status tab.
Rememberizer App 1.6.1 (MacOS) - Release note.
Please note, it is recommended to always use the latest version of the software to take advantage of all the latest features and improvements.
Rememberizer App is designed to make the process of converting local files to vector embeddings as seamless as possible. Enjoy using your data in a more productive way!
Support for Empty Folders: Users can now add empty folders as a data source.
Minor Improvements: Enhancements to the user interface and performance.
GPU Support and Performance Improvements: Added support for GPU acceleration to enhance processing speed.
Enhanced Embedding Program: Configured to support the MPS version of PyTorch, optimizing for machine-specific builds.
Intelligent CPU Detection: Implemented detection of CPU type to ensure the most suitable version of the embedding program is used.
Improved Data Source Management: Utilized the Batch Delete API for efficient file deletion in removed data sources.
Support for All Plain Text Files: Enabled processing of various plain text file types.
Adherence to Gitignore Rules: Files ignored by gitignore rules in Git repositories are now excluded from processing.
