Jina AI: Search and Embedding APIs
Jina AI is designed for software and enterprise companies to help improve the relevance of search results. It supports teams building RAG systems that process multilingual or multimodal data.
At a glance
- Category
- Data & Analytics
- Best for
- Software companies, Enterprise technical teams, LLM providers, Finance and consulting firms, E-commerce and retail businesses
- Pricing
- Jina AI uses a freemium, token-based pricing model. New users receive ten million free tokens; paid tiers provide higher rate limits for RPM and TPM.
- Key use cases
- LLM Grounding, RAG System Development, Global Product Search, Document Analysis
- Integrations
- MongoDB, DataStax, Qdrant, Pinecone, Chroma
- Official website
- jina.ai
Jina AI provides a set of specialized APIs that serve as a foundation for AI-powered search. The toolset includes a Reader API for web content extraction, an Embeddings API for converting data into vectors, and a Reranker API for refining search results based on user intent.
This software is intended for developers and technical teams at software companies, finance firms, and e-commerce organizations. It supports the creation of Retrieval-Augmented Generation (RAG) systems by processing web data and refining document retrieval.
Buyers should be aware that this is a technical tool requiring API integration. Because it operates on a token-based pricing model with specific rate limits across different tiers, teams should estimate their token consumption before scaling to production.
Jina AI is SOC 2 Type I and II compliant and was acquired by Elastic in October 2025.
Key Features
Converts URLs and PDFs into Markdown or JSON format to support LLM grounding.
Generates multimodal and multilingual embeddings to convert text and images into fixed-length vectors.
Analyzes initial search results to reorder documents based on the user's query.
Supports retrieval and embeddings across 100+ languages.
Supports the processing and ranking of both text and visual documents.
Maintains SOC 2 Type I and II compliance for data security.
Use Cases
Converting web URLs to Markdown to provide LLMs with clean, relevant context.
Using embeddings and rerankers to build retrieval-augmented generation pipelines.
Supporting e-commerce product discovery across different languages using multilingual models.
Processing PDFs and archives to help news or media companies find specific information.
Best For
Integrations
Pricing
Jina AI uses a freemium, token-based pricing model. New users receive ten million free tokens; paid tiers provide higher rate limits for RPM and TPM.
FAQ
Pricing is based on token usage. New API keys start with ten million free tokens, and users can purchase additional tokens as needed.
The Reader API converts web URLs and PDFs into Markdown or JSON to help ground AI models.
Yes, Jina AI offers deployments via AWS SageMaker, Microsoft Azure, and Google Cloud, as well as customized Kubernetes options.
Source category: Data & Analytics
Source subcategory: AI Search
