The personal knowledge systems created are static and cannot be interactive. Retrieving knowledge can only be done through memory queries. However, with the development of the ChatGPT API, this personal knowledge system has been transformed into an interactive form, which is more conducive to the circulation and retrieval of knowledge. The Quivr project happens to be launched at the right time, allowing you to create a large and interactive personal knowledge base. This article will introduce it.
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Official Website:
https://try-quivr.streamlit.app/
Project Address:
Content Details:
Quivr aims to help you store and retrieve unstructured information, just like your second brain. It can handle almost any type of data, such as text, images, code snippets, etc., and also utilizes advanced generative AI to help you generate and retrieve information. The application is designed to be fast and efficient, ensuring that you can access your data as quickly as possible. The data is stored in the cloud and is secure and reliable. It supports various file types, such as TXT, CSV, MD, MARKDOWN, M4A, MP3, WEBM, MP4, MPGA, WAV, MPEG, PDF, HTML, PPTX, DOCX, etc. The source code is written in Python and uses Streamlit as the web framework. It utilizes Supabase (an open-source alternative to Firebase) to provide backend services. If you deploy it using the source code, you can use your own ChatGPT API. If you don't have a ChatGPT API, Quivr can still be used, but with limitations. It only provides a daily usage limit of 2000 Tokens. The usage is also very simple. There is an "Add Knowledge" button in the interface. After clicking it, you can upload files that meet the requirements of TXT, CSV, MD, MARKDOWN, M4A, MP3, WEBM, MP4, MPGA, WAV, MPEG, PDF, HTML, PPTX, DOCX, etc. You can also add web addresses and database tables. After uploading, click "Communicate with Your Brain" to start interacting with knowledge. You can control and browse the uploaded files through "Forget" and "Explore" to optimize your knowledge base. It is not very difficult to use, so I won't explain it in detail here. Readers can test it themselves, it's very interesting.