Quivr

Quivr is an open-source platform that revolutionizes the way individuals and organizations interact with their data through AI-powered chatbots. Launched on May 5, 2024, Quivr leverages the Retrieval-Augmented Generation (RAG) model to create highly efficient and intelligent chatbots. The platform caters to a wide range of users, including educators, developers, and researchers, for various applications such as knowledge management and personal productivity enhancement.

Key Features:
- Unified search engine across documents, tools, databases, and more
- Continuous AI training on the user's unique context for improved search relevance and knowledge discovery
- Native and custom integrations with files, applications, APIs, and databases
- Adaptable AI models tailored to specific tasks
- Open-source and hosted versions available
- Strong community support with over 5,100 databases on Supabase

How It Works:
1. Users connect their data through native or custom integrations
2. An appropriate AI model is selected based on user needs
3. The AI learns from the user's unique context, continuously improving search results and knowledge discovery
4. Users interact with the chatbot by asking questions and receiving contextually relevant answers

Integrations:
Quivr supports a wide range of integrations, including:
- Files (PDF, CSV, PPT, TXT)
- Applications (Google Drive, GitHub, Notion, Evernote, Office 365, HubSpot)
- APIs
- Databases
- Custom integrations

Leveraging Generative AI:
Quivr utilizes the Retrieval-Augmented Generation (RAG) model to create chatbots capable of understanding and generating human-like responses. This enables the platform to provide accurate and contextually relevant answers, making it a valuable tool for knowledge discovery and data interaction.

Availability and User Base:
Quivr is available as a web application, with both open-source and hosted versions. Since its launch in May 2024, it has attracted a diverse user base, including educators, researchers, developers, and anyone looking to enhance their productivity and data management capabilities through AI.