What does Quivr actually do for me?

It keeps every article, email and post (even when an upstream service goes down), retains previous versions when content is corrected, lets you search by meaning rather than keywords and shows the exact matching passage, and notifies your application when new content matches a topic you defined.

What technology powers Quivr?

Under the hood it uses a Go engine (a single binary for API, worker and migrations), PostgreSQL, S3-compatible storage, Temporal and Weaviate for keyword plus vector search with multilingual E5 embeddings. It exposes an HTTP API (v0), signed webhooks, a change stream (polling or SSE) and MCP for AI agents.

Is Quivr really open source?

Quivr is open source under the MIT license. You can use it, modify it and self-host it freely. Some plugins depend on libraries under their own licenses, such as pypdf (BSD-3-Clause) for the PDF plugin.

Can I run Quivr V2 in production?

You can, but the project recommends caution: Quivr V2 is in an evaluation phase and its HTTP API is at v0, which may change without notice. Try it locally with the Quickstart first, and contact the team if you want to prepare a production rollout.

Can I host Quivr myself?

Yes. Quivr runs on servers you control — a single machine with Docker Compose for evaluation, or a deployment with separate workers and a dedicated vector host. By default Quivr does not send your document text anywhere outside your own installation.

Where can I get help or professional deployment?

For questions and bugs, use the issues and discussions in the GitHub repository. For custom plugins, production readiness or hosting that meets HDS requirements for health data, The Vibe Company offers a paid engagement and booking a call.

What is Quivr's monthly traffic and growth trend?

Quivr currently receives 0 monthly visits, with a month-over-month traffic change of +0 (0% growth rate). Its primary source market is Global (— share), including 0 direct visits/mo and 0 organic search visits/mo.

Is Quivr free? What is its pricing model?

Quivr operates on a Freemium pricing model. Quivr is free and open source under the MIT license, so the software itself costs nothing and you can self-host it on your own infrastructure. Cost therefore comes mainly from the servers and storage you run it on. The Vibe Company, the team behind it, also offers paid professional services — business plugins, production readiness, and hosting that meets HDS requirements for health data — arranged by booking a call with them. Supported billing and checkout platforms include: not listed.

Quivr — AI Tool Traffic (0/mo), Pricing, API & Alternatives

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About Quivr

Streaming ingestion of your content sources

Ingests articles, emails, social posts and documents as a continuous stream, indexing each item so it can be retrieved in seconds and compared against the topics you track.

Semantic search that shows the exact passage

Combines keyword and vector search (Weaviate with multilingual E5 embeddings) so you can retrieve results by meaning and see the exact passage that matched.

Version retention without data loss

Every revision is preserved rather than overwritten, so when a source article is corrected you can still see the previous version and its history.

Topic alerts pushed to your app

Notifies your application through signed webhooks when new content matches a described topic, explaining why it matched.

Developer-friendly API, webhooks and MCP

Ships an HTTP API (v0), change streams via polling or SSE, and MCP so AI agents can query your knowledge base directly.

Quivr is best understood today as a private, self-hosted retrieval layer for the content your team already depends on. Instead of a hosted chatbot, it focuses on ingesting sources — news feeds, mailboxes, X/Twitter lists, internal documents — indexing each item as it arrives, and holding onto every revision. When content is updated, the prior version is kept rather than overwritten, which matters for research, compliance and qualitative monitoring work.

On top of that index, Quivr offers meaning-based retrieval. Search runs across Weaviate with keyword plus vector matching and multilingual E5 embeddings, and results point you to the exact passage that triggered the match, so you can verify an answer rather than trusting a black box. Topic alerts can be pushed into your own product through signed webhooks, complete with an explanation of why an item matched your criteria.

Architecturally, Quivr runs on your infrastructure. A Go engine (one binary for API, worker and migrations) sits on PostgreSQL, S3-compatible storage, Temporal and Weaviate, and it can be started with a single Docker Compose command for evaluation. The project exposes an HTTP API (v0), signed webhooks, a change stream via polling or SSE, and MCP for AI agents. It is licensed MIT, arose from a Y Combinator W24 team, and is now developed in the open by The Vibe Company, which also offers paid help for production rollouts and HDS-compliant hosting.

High-Impact Use Cases for Quivr

Researchers & analysts

Monitor topics across news, email and social feeds

Index incoming articles, newsletters and social posts, then get alerted the moment something matches a subject you track — useful for analysts, PR teams and researchers.

Engineering teams

Power AI agents with a private retrieval layer

Give internal copilots and automations a private knowledge base they can query over HTTP, signed webhooks or MCP without sending documents to a third party.

Compliance & knowledge managers

Build a versioned, auditable knowledge archive

Keep every version of a document or article so you can trace how a story, policy or record changed over time.

Solo developers

Evaluate semantic search locally with Docker Compose

Prototype semantic search or RAG features on your own machine with Docker Compose before committing to a managed vector database.

Rank	AI Tool	Monthly Visits	MoM Growth	Direct traffic share	Pricing	Head-to-Head
●	Quivr	0	0%	—	Freemium	Current
1	LlamaIndex	387.91K	+19.9%	31% direct	Freemium, Contact for Pricing	vs LlamaIndex
2	DocsBot AI	495.28K	-3.8%	18% direct	Freemium	vs DocsBot AI
3	BotifyNow	29.32K	-33%	35% direct	Freemium, Free Trial	vs BotifyNow
4	Helpjuice	585.62K	+17.3%	63% direct	Free Trial, Contact for Pricing	vs Helpjuice
5	OpenAssistantGPT	13.47K	+10.3%	41% direct	Freemium, Paid, Contact for Pricing	vs OpenAssistantGPT
6	Semantic Scholar	8.2M	+5.8%	23% direct	Free	vs Semantic Scholar

Quivr

Why Choose Quivr

Watchouts & Trade-offs

Multi-Angle Perspectives

Traffic Acquisition Breakdown