AI TOOL PROFILE
Jina AI: Search and Embedding APIs
- Data and Analytics
- AI Search
- 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.
At a glance
- Best for
- Software companies, Enterprise technical teams, LLM providers, Finance and consulting firms, E-commerce and retail businesses
- Key use cases
- LLM Grounding, RAG System Development, Global Product Search, Document Analysis
- Integrations
- MongoDB, DataStax, Qdrant, Pinecone, Chroma
- Official website
- Visit Jina AI official website
How AI is used
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
Reader API
Converts URLs and PDFs into Markdown or JSON format to support LLM grounding.
Embeddings API
Generates multimodal and multilingual embeddings to convert text and images into fixed-length vectors.
Reranker API
Analyzes initial search results to reorder documents based on the user's query.
Multilingual Support
Supports retrieval and embeddings across 100+ languages.
Multimodal Capabilities
Supports the processing and ranking of both text and visual documents.
SOC 2 Compliance
Maintains SOC 2 Type I and II compliance for data security.
Use Cases
LLM Grounding
Converting web URLs to Markdown to provide LLMs with clean, relevant context.
RAG System Development
Using embeddings and rerankers to build retrieval-augmented generation pipelines.
Global Product Search
Supporting e-commerce product discovery across different languages using multilingual models.
Document Analysis
Processing PDFs and archives to help news or media companies find specific information.
Integrations
- MongoDB
- DataStax
- Qdrant
- Pinecone
- Chroma
- Weaviate
- Milvus
- LlamaIndex
- Haystack
- Langchain
FAQ
How does Jina AI's pricing work?
- Pricing is based on token usage. New API keys start with ten million free tokens, and users can purchase additional tokens as needed.
What is the purpose of the Reader API?
- The Reader API converts web URLs and PDFs into Markdown or JSON to help ground AI models.
Can Jina AI be deployed on private infrastructure?
- 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
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