Your Search Foundation, Supercharged.
Jina AI is a set of "search foundation" APIs for building LLM and search applications: a Reader API that turns any URL into LLM-friendly Markdown, a Search API that returns web results in the same format, multilingual/multimodal Embeddings, and a Reranker for search relevance, plus a hosted MCP server so AI assistants can call these directly.
Jina AI positions its product as a "Search Foundation" for LLM applications: single-purpose HTTP APIs (Reader, Search, Embeddings, Reranker) that developers call directly or expose to AI agents via a hosted MCP server, rather than a single unified platform. The docs are written and served as an AI-readable knowledge base (llms.txt / llms-full.txt) describing model names, endpoints, and request schemas for the embeddings and reranker model families.
The product is also a set of separate single-purpose APIs (Reader, Search, Embeddings, Reranker, Elastic Inference Service) rather than one unified platform, which means teams wanting an all-in-one managed search/RAG product with a single dashboard and single bill will find more integration work than a bundled competitor.
That means no confirmed spec, not that one does not exist - confirm directly with Jina.
The docs list jina-embeddings-v5-text-small (677M params, Qwen3-0.6B-based, 32K context, 1024-dim with Matryoshka truncation), jina-embeddings-v5-text-nano (239M params, EuroBERT-based, 8K context, 768-dim), jina-embeddings-v4 (3.8B, multimodal text/image/PDF, 2048-dim), jina-embeddings-v3 (570M, 1024-dim, 100+ languages), and jina-clip-v2 (885M, multimodal text-image, 1024-dim).
This is an absence in what we retrieved, not confirmation that Jina AI is free or unpriced; confirm current pricing directly with Jina.
Given a query and a list of search results, the Reranker API re-ranks them, described as useful for improving the relevance of search results.
Other products that solve a similar job or fit the same part of the GTM stack.
This page tells you whether Jina AI fits. Cheetah builds and runs the system it goes into — enrichment, sequencing, CRM and the joins between them.
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