Introduction to Cinnamon AI
Cinnamon AI is a remarkable artificial intelligence tool that focuses on intelligent document processing (IDP). At its core, it utilizes complex in-house document analysis technology to achieve what can be termed as 'automation of automation'.
Core Features
IDP Technology
IDP, or Intelligent Document Processing, is a collective term for advanced document processing techniques that extract and organize information from the complex content of various document formats. Cinnamon AI's Flax Scanner is a highly versatile and unique technology that can extract information with high precision from text in any format. It leads the IDP industry with its high-precision document analysis technology.
RAG Technology
RAG, which stands for Retrieval Augmented Generation, is an extension technology that adds specific information such as in-house documents to large language models like GPT. Generally, it is difficult for large language models to read diverse documents including charts and graphs. However, Cinnamon AI's Super RAG can handle all kinds of in-house documents, making it a powerful tool for integrating in-house information with language models.
Basic Usage
For those new to using Cinnamon AI, the process is relatively straightforward. Once you have your documents ready, whether they are in various formats or contain complex content, you can utilize the Flax Scanner to extract the necessary information. If you want to integrate that information with a large language model, the Super RAG functionality comes into play, allowing for a seamless combination of in-house data and the capabilities of the language model.
In comparison to other existing AI solutions in the market, Cinnamon AI stands out for its specialized focus on document processing. While some AI tools may offer general language processing capabilities, Cinnamon AI hones in on the specific area of handling complex documents and integrating their information effectively. This makes it an ideal choice for businesses and individuals who deal with a large volume of documents and need to extract and utilize the information within them efficiently.
