Listing Thumbnail

    CodeRAG - Multimodal RAG & GenAI

     Info
    CodeRag is a Codebit service that aims to facilitate the implementation of GenAI into your services. CodeRAG is developed based your needs, it analyze contents and delivers precise answers and consolidated analyses. It integrates seamlessly with client platforms, learns from texts, images, and videos, and utilizes this knowledge to respond accurately across different contexts, ensuring efficient and effective use in various scenarios.
    Listing Thumbnail

    CodeRAG - Multimodal RAG & GenAI

     Info

    Overview

    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.

    Highlights

    • Generative AI implementation based on your needs
    • Complete support from start to finish with a competent team of experts who will help you set up your Gen AI project in the most effective manner

    Details

    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

    How can we make this page better?

    We'd like to hear your feedback and ideas on how to improve this page.
    We'd like to hear your feedback and ideas on how to improve this page.

    Legal

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Resources

    Vendor resources

    Support

    Vendor support

    Phone: +55 (11) 3014 2103

    Email: contato@codebit.com.br 

    Website: