Jina AI

Reader, embeddings and reranker

Free tier + paidSearch, vector & RAGjina.ai

What it is

A set of small search-infrastructure APIs. Reader turns any URL into clean LLM-ready markdown by prefixing it with r.jina.ai/. Alongside it sit multilingual multimodal embeddings, a reranker for tightening retrieval precision, and a DeepSearch endpoint. All are plain HTTP, no SDK required.

Why it earns a slot

The reranker is the cheapest single upgrade to a mediocre RAG pipeline — retrieve 50 chunks, rerank down to 5, and answer quality jumps. Reader needs no key at all for quick tests.

Know before you commit

Rate limits bite before token costs do. Keyless r.jina.ai requests get a much lower RPM ceiling and are throttled first under load.

Getting started

curl https://r.jina.ai/https://example.com

Field notes

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Pricing snapshot

Free API key on signup with a bundled token allowance, no card. Token-metered after that. Rate limits: Reader and Embeddings/Reranker 500 RPM, Search 100 RPM; premium raises Reader to 5K RPM and Search to 1K RPM.

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Evaluate Jina AI (https://jina.ai) for this project, then use it only if it fits what we are already building.
Context: Reader, embeddings and reranker. A set of small search-infrastructure APIs. Reader turns any URL into clean LLM-ready markdown by prefixing it with r.jina.ai/. Alongside it sit multilingual multimodal embeddings, a reranker for tightening retrieval precision, and a DeepSearch endpoint. All are plain HTTP, no SDK required.
Reviewer notes (general, not written for this codebase): The reranker is the cheapest single upgrade to a mediocre RAG pipeline — retrieve 50 chunks, rerank down to 5, and answer quality jumps. Reader needs no key at all for quick tests.
Watch out for: Rate limits bite before token costs do. Keyless r.jina.ai requests get a much lower RPM ceiling and are throttled first under load.
Pricing: Free API key on signup with a bundled token allowance, no card. Token-metered after that. Rate limits: Reader and Embeddings/Reranker 500 RPM, Search 100 RPM; premium raises Reader to 5K RPM and Search to 1K RPM.
Setup: curl https://r.jina.ai/https://example.com
Rules: treat the notes above as background only. Do not assume a theme, style, layout or feature that is not already in this project — inspect the existing code first and ask me before changing visual direction.

/api/public/tools/jina-ai

Neighbourhood

How Jina AI sits against the rest of the atlas — swaps, companions and the tools builders actually save alongside it.

Instead of thisFuse.js MiniSearch Pagefind Algolia Brave Search API Chroma Cloudflare Vectorize Elastic Cloud Exa

Named in the wiringModal

Also in Search, vector & RAG

Algolia

algolia.com

Hosted keyword search API

Free tier + paidSearch, vector & RAG

Free: 10K search requests/mo + 50K records. Grow: $0.50 per 1K searches + $0.40 per 1K records (10K searches / 100K records included). Grow Plus $1.75 per 1K searches. Elevate with NeuralSearch is custom.

Open dossier

Brave Search API

brave.com

Independent web index search API

PaidSearch, vector & RAG

$5/month in free credits applied automatically; no standing free query allowance. Search $5 per 1K requests at 50 QPS. Answers $4 per 1K requests plus $5 per million input/output tokens at 2 QPS. Enterprise custom.

Open dossier

Chroma

trychroma.com

Embedded vector DB + cloud

Free tier + paidSearch, vector & RAG

OSS free (Apache 2.0). Chroma Cloud Starter: $0/mo base with $5 free credits, then usage. Team $250/mo + usage with $100 credits. Rates: $2.50 per GiB written, $0.33 per GiB-month stored, $0.0075 per TiB queried, $0.09 per GiB returned.

Open dossier

Cloudflare Vectorize

developers.cloudflare.com

Serverless vector DB on Workers

Free tier + paidSearch, vector & RAG

Workers Free: 5M stored vector dimensions, 30M queried dimensions/mo. Workers Paid ($5/mo): 10M stored and 50M queried included, then $0.05 per 100M stored dimensions and $0.01 per million queried dimensions.

Open dossier