Quivr

Quivr - Open source chat-powered second brains is an open-source platform that turns private and enterprise knowledge into a personal AI assistant. It continuously trains on your company’s unique context to improve search relevance and knowledge discovery. Quivr connects to your knowledge base via native or custom integrations, lets you pick a GenAI model suited to your tasks, and provides prompt instructions to guide AI responses. It is designed for knowledge management, customer support, sales, and developer teams to create a scalable, AI-assisted workspace with private data sources.

---

How it works

1. Connect your sources. Link Quivr to your knowledge bases, files, databases, apps, APIs, and custom integrations.
2. Choose a GenAI model. Pick the model best aligned with your tasks and privacy requirements.
3. Insert prompt instructions. Provide guidance to shape responses and improve accuracy.
4. Interact with your data. Use chat or search interfaces to query documents, databases, and other knowledge assets as if conversing with an intelligent assistant.
5. Continuous learning. The second brain trains on interactions to improve relevance and discovery over time.

---

Features

• Open-source architecture for full customization and control over data
• Connects to multiple data sources (native and custom integrations)
• AI-powered workplace search over private knowledge bases
• Pluggable GenAI models tailored to tasks
• Prompt engineering support with actionable instructions
• Knowledge management for teams (customers support, sales, developers, etc.)
• Continuous learning from interactions to improve relevance
• Supports documents and data in various formats via integrations
• Community-driven ecosystem with documentation, quickstart guides, and examples

---

Use Cases

• Build a private AI assistant that answers questions from your internal docs, tickets, and datasheets
• Create AI-powered support agents that can access company knowledge bases
• Enable researchers and developers to query project docs, APIs, and design docs
• Implement RAG-style workflows by indexing diverse data sources

---

Integrations and Extensibility

• Native integrations with popular tools and systems
• Custom integrations to connect proprietary databases, file stores, and APIs
• Open source foundation enables security-focused deployments and data sovereignty

---

Safety and Privacy

• Data stays within your environment; configure access controls and data retention policies
• Open source allows auditing of data handling and model behavior

---

Getting Started

• Explore the Quickstart guide and documentation
• Join the community on Discord and GitHub for support and contributions

---

Core Features

• Open-source, self-hosted second brain
• Connect to diverse knowledge sources (native/custom integrations)
• AI-powered search across private data
• Choice of GenAI models with task-oriented prompts
• Prompt instructions to guide responses
• Continuous learning from interactions
• Suitable for knowledge management, support, sales, and development
• Strong emphasis on data privacy and user control