Dropchat lets people build their own ChatGPT chatbots using their own data sources like PDF files, websites and YouTube videos. The service uses an approach called Retrieval Augmented Generation (RAG) that links large language models (LLMs) to outside data sources. That means LLMs can offer more authoritative and contextually relevant answers.
Dropchat's design lets people combine different data sources to produce chatbot answers that are better informed and therefore more capable. That could be useful in a wide range of situations where data-rich conversational AI is useful.
For details on specific features and pricing, check the Dropchat website.
Published on June 15, 2024
Related Questions
Can I create a chatbot that uses my own data and expertise to provide more accurate answers? I need a conversational AI that can integrate with my existing knowledge base, is that possible? How can I build a chatbot that provides more authoritative and contextually relevant answers? Is there a platform that allows me to combine multiple data sources to create a more informed chatbot?
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