Quivr (Hosted)
Quivr (Hosted) is a hosted version of the Quivr second brain platform that lets users create AI assistants called Brains to chat with and retrieve knowledge, with documentation describing model provider compatibility and privacy posture while pricing is presented as usage based rather than a simple public tier list.
Overview
Quivr is described in its documentation as a Second Brain that can act as a personal assistant and enables creation of AI assistants referred to as Brains. The docs also state Quivr is compatible with any OpenAI compatible API and list supported model providers including OpenAI Anthropic Groq and Mistral which matters for teams with vendor preferences and latency constraints. For hosted usage the Quivr site emphasizes transparent pay as you use pricing but does not present a clear public entry tier price on the pages reviewed so procurement should be treated as by quote or usage based until confirmed in your account.
The privacy and compliance documentation states that data collection only occurs on the hosted version of Quivr com and notes that dedicated instances can be arranged with no data collection on their side which is relevant for regulated workflows. Practically Quivr fits knowledge work where you want a searchable assistant over documents tools or data sources with the option to self host when governance requires it. To evaluate hosted Quivr run a small pilot Brain with a defined corpus and test retrieval quality latency and permissions and also validate how model choice and usage metering affect cost predictability.
Key features
- Brains assistants: Create AI assistants called Brains to organize and chat with knowledge using a second brain workflow
- Model flexibility: Documentation states compatibility with any OpenAI compatible API to support multiple model vendors
- Supported providers: Docs list providers such as OpenAI Anthropic Groq and Mistral for configurable model selection
- Hosted privacy notes: Docs state data collection occurs on hosted Quivr com and dedicated instances can avoid data collection
- Self host option: Open source roots allow self hosting for stronger governance when hosted SaaS is not acceptable
- Docs guided setup: Documentation provides install and configuration guidance including environment variables and model settings
Best for
- Internal knowledge helper: Build a Brain over team documents so staff can ask questions and retrieve context quickly
- Project onboarding: Use a Brain to answer repeated setup questions and reduce time spent searching through wikis
- Customer support aid: Retrieve relevant internal docs during ticket work to speed accurate responses with human review
- Policy lookup: Query governance and compliance docs while keeping citations and source references for audit
- Tool connected workflow: Connect Brains to data sources so assistants can answer in context and route tasks to owners
- Vendor model testing: Compare outputs across supported model providers to balance cost latency and answer quality
Capabilities
Brains and assistants
Create assistants called Brains that focus on specific knowledge domains, then test retrieval relevance and permissions so answers remain grounded in your approved sources and do not leak restricted content.
Model provider routing
Use documentation stated compatibility with OpenAI compatible APIs and supported providers to route requests, then benchmark latency and cost behavior under real workloads before standardizing.
Privacy and compliance
Apply hosted privacy guidance that states data collection occurs on the hosted version and consider dedicated instances when policies require tighter control, then document retention access and audit requirements.
Deployment choices
Choose hosted for speed or self hosting for governance, then validate configuration steps from official docs and define an operational owner for updates monitoring and incident response.
Frequently Asked Questions
How does Quivr (Hosted) pricing start?
Quivr emphasizes transparent pay as you use pricing on its site but a simple public entry tier price was not clearly listed on the pages reviewed. Treat pricing as usage based and confirm your actual rates and limits inside the official billing flow.
What data and privacy controls are documented?
Quivr documentation states data collection only occurs on the hosted version and that dedicated instances can be arranged with no data collection on their side. Review privacy and compliance docs and align retention and access with your policy.
What models and APIs are supported?
Quivr documentation states compatibility with any OpenAI compatible API and lists supported providers such as OpenAI Anthropic Groq and Mistral. Confirm your required provider features and test responses and rate limits in your pilot.
How hard is setup and what is the technical fit?
Hosted use can be quick but quality depends on how you structure Brains and data sources. Start with a small corpus and measure retrieval precision, then expand while adding permission rules and monitoring for failures.
How does Quivr compare with other RAG assistants?
Quivr is positioned around Brains and flexibility across model providers plus an open source self host option. Compare against alternatives based on retrieval quality, governance controls, integration depth, and how predictable usage based costs are.
