Generative AI Starter Kit
The Fast Lane to Knowledge Graph – infused Generative AI
The Graphwise Generative AI Starter Kit isn’t just a theoretical exercise or a mere workshop; it’s a comprehensive, fully operational product that serves as the launchpad for your transformative GenAI journey. Seamlessly integrate this prototype into your existing systems and watch as it unlocks new realms of potential, driving your organization towards unprecedented success and innovation. Embrace the future with confidence and let the GenAI Starter Kit be the catalyst for your enterprise’s evolution.
As enterprises pour millions into Generative AI investment, Graphwise delivers the critical knowledge graph infrastructure that you need to get a head start on next generation AI solutions.
We don’t want to insult your time by telling you it works with pretty slides and a classic elevator pitch. With the Generative AI Starter Kit, we will teach you and show you the benefits of graph-infused AI by building a real project in our software.
Develop your GenAI strategy in consideration of business risks as well as business relevance.
Try out GenAI in a near real world scenario with your own use case and your own data.
Prepare the ground for the use cases that will make your company ready for the future.
Our team of experts have used their more than 20 years of experience to identify the best solution for you in the combination of Knowledge Graph and GenAI and implement it in a functional prototype.
Step 1: Tell us about yourself and your ideas
The Generative AI Starter Kit begins with us learning more about you. What do you do, what is important to you, why do you want to start GenAI? These are questions that will be asked of you in our questionnaire. One of our experts will get in touch with you to provide demos and discuss how our Generative AI solutions fit your requirements.
What you get: A detailed report that outlines how ready your organization is for implementing GenAI. This report will analyze your use case in 5 dimensions: Readiness, Potential, Strategic Impact, Awareness, Practicability
Step 2: Customized Solution Sketch
This step requires a deeper look into your use case through more discussion about your pain points and your current infrastructure to outline your specific solution in our sandbox: be it a Graph RAG, Prompt Engineering or any other combination of Symbolic AI and GenAI.
Why not invite a few colleagues to this meeting? Every voice counts when it comes to finding out what can become possible if you develop your ideas together with us.
What you get: A concrete idea of what you can achieve with a graph-infused GenAI and what the next steps towards a proof of concept could look like, which we will tackle in step 3
Step 3: Your Proof of Concept
Our team discusses the requirements to determine the technical approach and scope of the pilot within our given budget.
Now we build a concrete prototype for you! Based on a sample set of your own data, we will develop a business solution using Graphwise’s GenAI tools. Together with your input, we will experiment and develop metrics to ensure the success of the pilot project
What you get: A prototype that you can now test and experiment with. Since we use your own data to create the project, you can see exactly how our GenAI technologies will turn your headaches into solutions
Step 4: Conclude and get a tailored offer
The final step in the Starter Kit evaluates the results of your project. Based on the metrics we developed in the previous stage, we will be able to understand how well the prototype aligns with the project’s value proposition and goals. Here, we can prepare for possible next steps and opportunities to further your usage of the Graphwise software
What you get: You get a report on the outcomes of the project together with a tailored offer for a full scale application
FAQ
What type of solutions are offered?
Graphwise combines symbolic AI and generative AI for use cases where you want to benefit from the new human-machine interactions that LLMs bring without sacrificing the familiar reliability of a knowledge graph. These capabilities serve as the foundation for optimizing GenAI with the power of knowledge graphs for your search engines, recommendation systems, and question-answering systems.
How do you ensure correctness and reliability in interactions with LLMs?
We believe guardrails for GenAI are crucial in guiding the development and deployment of AI models to promote ethical practices and safe utilization of AI technology. Therefore we work with community proven pre-built validators, spanning tasks like bias detection to ensure the factuality of AI-generated content.
Who will be involved in the process from the Graphwise side?
A highly qualified team of Data & Knowledge Engineers and Professional Consultants will be dedicated to analyzing your business case. Their expertise is built on 20+ years of experience in the industry, so they will be sure to see your progress through from start to finish.