Important: none of these provides Jina's models
Jina AI offers hosted embedding and reranker models along with its Reader and search APIs. Firecrawl, Crawl4AI, and Maxun focus on getting web content into clean Markdown or structured data, and Qdrant stores and searches vectors. You still need an embedding model, either open-weight or from another provider, to build search on top of them.
Web crawlers vs a vector database
Firecrawl, Crawl4AI, and Maxun fetch and extract web pages: Firecrawl as an API with search and scraping, Crawl4AI as a Python library with adaptive crawling and Markdown output, and Maxun as a no-code recorder with scheduled monitoring. Qdrant is a Rust vector database for similarity search, filtering, and hybrid retrieval in RAG systems.
License details
Crawl4AI and Qdrant are Apache-2.0. Firecrawl and Maxun are AGPL-3.0, so modified versions offered over a network must share their source. Firecrawl's hosted cloud includes additional features that the open-source version does not, so check its self-hosting guide for differences.
Pricing
All four are free to self-host. Firecrawl offers a free hosted tier with 1,000 pages per month and paid plans, and Qdrant offers a managed cloud. You pay for your own compute, proxies, and any LLM or embedding provider you connect.
Maintenance status
Firecrawl, Crawl4AI, Qdrant, and Maxun were all updated within days or weeks of this update.