llm.rememberizer.ai

# Rememberizer ### Overview - [Why Rememberizer?](https://docs.rememberizer.ai): An introduction explaining how Rememberizer enhances generative AI apps by providing them access to relevant content from documents, data and discussions. ### Background - [What are Vector Embeddings and Vector Databases?](https://docs.rememberizer.ai/background/what-are-vector-embeddings-and-vector-databases): A detailed explanation of how Rememberizer uses vector embeddings in vector databases to enable semantic similarity searches within user knowledge sources. ### Personal - [Rememberizer Slack Integration](https://docs.rememberizer.ai/personal/rememberizer-slack-integration): A step-by-step guide for integrating Slack workspaces into Rememberizer as a knowledge source. - [Rememberizer Dropbox Integration](https://docs.rememberizer.ai/personal/rememberizer-dropbox-integration): Instructions for connecting and embedding Dropbox files into Rememberizer's knowledge base. - [Rememberizer Google Drive Integration](https://docs.rememberizer.ai/personal/rememberizer-google-drive-integration): A comprehensive guide for integrating Google Drive into Rememberizer as a knowledge source. - [Rememberizer Gmail Integration](https://docs.rememberizer.ai/personal/rememberizer-gmail-integration): Instructions for connecting Gmail accounts and selecting labels for knowledge base integration. - [Rememberizer Memory Integration](https://docs.rememberizer.ai/personal/rememberizer-memory-integration): Guide to using Rememberizer's shared memory feature for storing and accessing data across multiple applications. - [Rememberizer App](https://docs.rememberizer.ai/personal/rememberizer-app): Documentation for the MacOS desktop application that converts local files into vector embeddings for Rememberizer. - [Mementos Filter Access](https://docs.rememberizer.ai/personal/mementos-filter-access): Explanation of how to use Mementos to control third-party application access to your knowledge. - [Manage Third-p