# Addition of RAG Support At Synthi AI, we continually evolve to bring the latest in artificial intelligence directly to your fingertips. \ \ We are thrilled to announce that we are currently developing an innovative feature: \ \ **Retrieval-Augmented Generation (RAG) support.** \ \ This new capability promises to revolutionize the way users interact with Synthi AI by incorporating dynamic, document-based interaction. With the upcoming RAG support, users will soon be able to upload documents in various formats, including PDFs and text files, directly into the chat interface. Synthi AI will leverage cutting-edge AI to process and analyze the content of these documents. This advanced feature enables the chatbot to answer queries and provide insights that are directly relevant to the content provided, transforming the chatbot into an even more powerful tool for information retrieval and real-time data analytics. The addition of RAG support exemplifies our dedication to enhancing user experience and functionality. \ \ This feature will allow Synthi AI to access and generate responses based on the actual content of user-uploaded documents, making it a potent assistant for both personal and professional needs. \ \ Users will be able to obtain precise information and insights from their documents quickly and efficiently, thereby reducing the effort and time involved in manual searches. By integrating RAG technology, Synthi AI will not only expand its capabilities but also enhance its practical utility as a comprehensive AI assistant. This development underscores our commitment to integrating sophisticated AI technologies into everyday applications, ensuring our users are always at the cutting edge of digital interaction. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://xei.gitbook.io/documentation/utility/synthi-ai-assistant/addition-of-rag-support.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.