Combine the reliability of retrieval with the power of generation

Our RAG Assistant is a simple tool that opens up a whole new world in the use of Large Language Models.  Retrieval Augmented Generation (RAG) unleashes the power of Generative AI on the documents sitting on your own PC or on any website. This means the LLM is not limited to the data it has seen during training. By crafting an effective prompt you can unlock the knowledge contained in the documents on your system. But the power of the OpenAI models  makes this application more than just a search and retrieval tool. The GenAI models use the retrieved knowledge as the basis for the generation of texts as directed  by your prompt.  In short, you can chat with your documents!

RAG Assistant  has a wide range of applications in business and education. It can currently handle PDF, DOCX and TXT files and import documents from the Internet via the URL.  AI can digest the content of your own documents and use it as the basis for generating new text. For instance, you can ask the model to summarize an uploaded local document and translate the summary into any number of languages.  When AI doesn’t know the answer it can give you incorrect information or hallucinate.  With creative prompting and RAG you can steer GenAI to give you the answers you need, based on your own trustworthy documents.