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Who is Dropchat?

Dropchat is a forward-thinking company dedicated to revolutionizing the way users interact with information through AI-powered chatbots.

Our platform empowers organizations to create and manage intelligent, responsive chatbots that enhance digital communication. By integrating cutting-edge AI technology, Dropchat's chatbots offer personalized, efficient customer interactions, ensuring seamless digital experiences.

With our user-friendly interface, businesses can easily design, deploy, and refine chatbots tailored to their specific needs, fostering stronger connections and elevating customer engagement.


Dropchat Platform

The Dropchat Platform leverages Retrieval Augmented Generation (RAG), which connects LLMs to an external data source.

These data sources provide current and context-specific information, enhancing the LLM's ability to generate more accurate responses.


Cloud-Based SaaS

The Dropchat Platform combines key technologies like GPT-4, embedding models, and a vector database into a user-friendly, no-code environment.

This approach significantly enriches the capabilities of LLMs, making them more relevant and informed for specific tasks and queries.


Consulting

We will guide you from initial assessment to strategy, implementation and support.

Combine the power of AI, advanced search capabilities, and knowledge graph technologies using the Dropchat Platform.

Create a custom ChatGPT chatbot using your own data

Dropchat lets you create a chatbot trained on your website, PDFs, YouTube videos, and more.

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Why not just use ChatGPT?

Large Language Models (LLMs) like ChatGPT have revolutionized communication, but they often fall short due to their generic responses and lack of up-to-date, domain-specific knowledge.

For instance, ChatGPT's training includes data only up to April 2023 and lacks access to private data or recent public resources like websites, PDFs, or YouTube content.

Dropchat maximizes the potential of LLMs by integrating them with additional computational tools and knowledge data sources. It addresses the limitations of LLMs, such as producing irrelevant or outdated information ('hallucinations') and their limited domain knowledge.