Quivr
Product information, use cases, and access for Quivr.
Pricing information
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What is Quivr?
Quivr is an open-source knowledge-base tool for people and teams that need to organize and retrieve unstructured information. It brings materials such as text files, Markdown, PDFs, audio, and video into a searchable knowledge space, then supports conversational access to the collected content. The product is positioned as a way to build a personal or shared knowledge base around the information a user chooses to provide.
Users can ask questions in natural language and receive answers grounded in the uploaded materials, which can make it easier to locate relevant information than browsing files one by one. Quivr is described in both hosted and self-deployed forms, and it also exposes an API for connecting the knowledge base with other applications or services. This makes it relevant for personal reference collections, work documents, and teams that want a conversational interface over their own information.
Key features of Quivr
Multi-format ingestion
Users can bring text, Markdown, PDF, audio, and video materials into the knowledge base, giving varied unstructured content a shared place for later retrieval and analysis.
Natural-language Q&A
Users can ask questions in ordinary language, while the system generates responses from relevant content in the uploaded files. This is suited to querying personal materials or work documents without manually reading each file.
Vector-based retrieval
Uploaded materials are described as being vectorized for subsequent retrieval, helping users locate information related to a question across a larger collection of stored knowledge.
Deployment and integration
As an open-source project, Quivr can be self-deployed, and its API can connect the knowledge base with third-party applications or services. These options suit users who need a more adaptable workflow around their own information.