CodeRag is a Codebit created service designed to simplify the application of generative artificial intelligence (GenAI) in your environment. CodeRag can be used for analysis, consolidation and response generation from an initial knowledge base. Based on the client needs, we will create an AI that is able to receive a variety of content as input parameters, and after processing them, return concrete and objective answers as well as consolidated analysis. Furthermore, the CodeRag GenAI solution can be integrated into several platforms already existing within the client’s organization.

CodeRag enables swift implementation of generative AI mechanisms aimed at learning details from a multimodal knowledge base composed of texts, images, and videos, capable of answering specific queries. Its learning capability allows the operation across a diverse range of use cases.

Here are some of the features of CodeRag:

• Learning Capability: CodeRag is capable of learning from past contents. Once indexed and learned, this content is integrated into the knowledge base used to answer future queries.
• Multimodal: CodeRag handles not only textual information but also interprets and learns from videos, audios, and images. This enhances its learning and analytical efficiency, leading to more accurate responses to a more vast range of questions.
• Flexibility: CodeRag easily integrates with any platform through a simple API. Through this API, it receives questions and provides answers based on the initially learned knowledge. Out-of-context questions are not answered to ensure compliance.
• References: All responses generated by CodeRag include sources used to construct them. This allows users to verify and double-check understanding or delve deeper into specific Topics.
• Question History: Each user / conversation is treated within a sequential context. This enables refinement of questions based on initial responses. CodeRag tracks the context and question history as elements of the most recent question in order answer it more assertively, making the process more integrated and fluidly.