Chatbots, RAGs & Multi-Agent LLMs
Transform text data (e.g., FAQs) into smart chatbots and streamline business with Multi-Agent System.
Advancements in LLMs like ChatGPT and Generative AI allow businesses to transform text and image data into intelligent applications. Businesses can leverage multi-agent systems and tailored chatbots to enhance customer interactions, automate workflows, reduce costs, and gain faster insights—while ensuring data security and compliance. Feel free to book a non-committal video call with our subject-matter expert to get an idea of the value, feasibility and scope. Typical projects are:
Tailored Chatbots with RAGs
Retrieval Augmented Generation (RAG) is a powerful tool for building customized chatbots by incorporating internal data—such as FAQs and documents (.pdf, .docx)—into large language models (LLMs) like ChatGPT. This enhances response accuracy, reduces ticket processing time by up to 50%, and significantly improves the customer experience.
Multi-Agent LLMs: Enhancing Efficiency and Automation
Multi-agent systems enable specialized AI agents to handle tasks across sales, support, and logistics, collaborating in real-time for faster, more accurate responses. Automating processes like ticket summarization and stakeholder updates reduces manual oversight, boosts efficiency, and enhances customer satisfaction.
Optimized User Experience with Data Security
RAG and multi-agent systems deliver real-time, accurate answers from proprietary data, enhancing user experience. Businesses maintain control over sensitive information, ensuring - it is not shared externally with providers like ChatGPT or OpenAI, while remaining compliant with privacy regulations (e.g., GDPR, SOC2).
For inspiration, feel free to browse through some of the highlighted case studies below.
