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Create a Customized RAG Solution With Our AI Consulting Team

Updated: Sep 30



Retrieval-Augmented Generation Is a Highly Effective AI Business Tool


Retrieval-augmented generation (RAG) is one of the most desirable and innovative resources that businesses have at their disposal in this exciting new age of AI.


Imagine your business having its own ChatGPT-style software that can provide proprietary information, but is completely private to your enterprise. Consider the many specific use cases for a tool like this:


  1. Enhanced chatbot functionality: Ensure your chatbot responds with information directly from your FAQs.

  2. Tap your archives: Access information from your request-for-proposals (RFP) documents to generate quick opportunity assessments.

  3. Get accurate content generation: Quickly create summaries of past information to expedite meetings.

  4. Synthesize and analyze data: Get insights and analysis on your key audiences or internal data at a moment’s notice.

  5. Get AI insights for any department: Streamline your financial analyses or even hasten your recruitment process.


Your business can achieve these use cases and more with a RAG. RidgeRun.ai, a trusted deep learning and machine learning consulting company, can help you add proprietary knowledge to a large language model (LLM) that is completely private to you, so your team can benefit from an “internal” ChatGPT-like application.


How Retrieval-Augmented Generation Works


Training a neural network to create your own LLM is expensive, time-consuming, and taxing on your technological resources. It requires overhead and engagement that most businesses can’t commit to. However, developing a RAG solution requires far less resources. When creating a RAG, you use an LLM that is already available and train it to access your company’s information.


You’re likely already familiar with the concept of information retrieval. The most common use case for informational retrieval is the search engine you use daily. Search engines require information retrieval technology to find results for your requests from a broad set of data. This is accomplished through the use of a technique called embeddings.


Computers are much faster at mathematics than they are at natural language processing. Embeddings create numerical representations of text, so that the model can retrieve specific information quickly. Assigning embeddings to your internal data allows your LLM to effectively find the data you request.


Alongside search engine functionality, embeddings are essential for these key actions that can make your business processes more efficient, including the aforementioned use cases, such as chatbots informed by a business’s internal content or a ChatGPT-like program that can discreetly draw from your server for new content generation.


Our AI Consulting Team Is Prepared to Develop Your RAG Solution


It is important to keep in mind that your generative AI application, enhanced by a RAG, is only as good as your deep learning consulting services. RidgeRun.ai’s expert team is ready to develop your RAG now. Here’s our approach:


  • Preparing your data: Our team preprocesses your business’s enterprise knowledge base and creates precise embeddings to ensure your ChatGPT-like application can perform commands that leverage your internal data and information.

  • Privacy protection: Ensure you’ll never have to worry about that information ending up with a proprietary LLM through Microsoft, OpenAI, or Google. RidgeRun.ai can host your chatbot right on your server, and it can even be used without the internet.

  • Optimizations: We employ NVIDIA’s TensorRT LLM, a state-of-the-art hardware accelerator that will ensure high-speed functionality, so your employees will quickly be able to access information when they need it.


Clients Trust Our AI Consulting Team For Cutting-Edge Solutions


Businesses today outsource work with consulting firms for a variety of purposes: to improve their culture, manage processes and projects, find new opportunities, and more. Today, machine learning and deep learning consulting is just as critical to your business success.


We are now on the cusp of a technological revolution powered by AI. New breakthroughs are occurring at a rapid pace. Even if your business isn’t considered “high-tech,” you still have a reason to invest in AI to differentiate yourself in a highly competitive landscape. In a business culture where companies and their team members are using AI tools to enhance productivity and reduce costs, it may be time to pursue your own strategy to adopt this technology.


RidgeRun.ai uses its advanced hardware and software engineering expertise to deliver RAG capability that businesses can use to find success, no matter the industry. Our team also offers a comprehensive list of deep learning and machine learning consulting services, including:


  • AI development

  • Model integration

  • AV data processing

  • Optimizations

  • Machine learning operations consulting (MLOps)


We look forward to working with you to bring RAG technology and more to your business. Contact RidgeRun.ai to partner with our dedicated engineering team.

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