Databorg is excited to announce the launch of its Web Question Answering Demo, which demonstrates the power of our Knowledge Management Platform to provide custom Chatbot Interaction on any website in mere seconds. By using Databorg as a foundation and structure for knowledge, one can resolve many of the issues that ChatGPT and other Large Language Models (LLM) may be having right now.
„Our Platform has solved the issue of inaccurate chatbot output. We made it 100% reliable, explainable, fast, and up to date. With our Knowledge Graph, you can be confident that whatever answer you receive from our chatbot is accurate, which is precisely what ChatGPT was lacking.“ – says Fabio Chiaramonte, CEO of Databorg
One of the main reasons why ChatGPT may be inaccurate is that it focuses on verbalizing rather than the actual context. However, by incorporating complex Knowledge Graphs, LLMs can understand the context more precisely, resulting in more accurate outputs. This is an important step forward in the development and deployment of conversational AI in enterprise environments, where inaccurate data can have significant consequences. With Databorg, you can trust that your chatbot or AI application will provide reliable and accurate answers to your clients, customers, or employees.
Databorg is among the first companies worldwide to make conversational AI explainable, helping to address discussions about data training property, such as who owns the training data and what data can be used for training. This is particularly relevant in corporate environments where confidential and complex data, such as machine data, are prevalent. Databorg has resolved these issues through its next-generation knowledge management system, which was developed over a 15-year period and reengineered the Knowledge Graph technology from the ground up, resulting in significant increases in speeds and complexity as well as beating international benchmarks by magnitude.
Moreover, Databorg's platform is an essential tool for businesses looking to provide a personalized and efficient customer service experience. By integrating their WebQA Chatbot into your website, customers can have their questions answered in real-time, improving their overall experience with your brand. The chatbot can also help your employees access information more quickly and accurately across various data silos, increasing their productivity and effectiveness.
Databorg has embarked on a mission to become the leading provider of next gen enterprise data solutions, paving the way for a future where businesses can make data-driven decisions with confidence.
I think it’s time we start creating a standard language to speak about the structure of conversations with AI Chatbot assistants.Web app UX features a common languageFor instance , in Herbie.ai we recently made the domain file editable within the UI.
The challenge was that your domain file contains the templates your assistant uses to send messages.
The UI already features a separate tab for editing those, so we might be duplicating information.But as a community, we don’t yet have the vocabulary to possess an identical discussion about the weather of dialogue.
We mention intents, entities, and actions, but those concepts are too detailed.Conversational AI needs a standard languageWe think it’s helpful to separate conversations up into user goals, where each user goal can mix and match reusable dialogue elements.Know more - https://www.herbie.ai
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