# Jina AI Search APIs and models for embedding, reranking, and reading web content in AI applications. - Findings24: - Site: - Preços: Freemium - Categorias: API de embeddings de IA, API de pesquisa com IA ## O que é Jina AI? Jina AI provides search-focused models and APIs for professional developers building retrieval and AI applications. Reader converts supplied URLs into text for a downstream model, Search returns web results, Embeddings converts supported text or image inputs into vectors, and Reranker orders candidate documents against a query. Connect through HTTP APIs or the Jina MCP endpoint. Choose the components your pipeline needs: page preparation, candidate retrieval, semantic matching, or relevance ordering. Reader’s basic URL-reading access can be used without a key; keyed services use token balances and endpoint-specific rate limits. Check the extracted material and ranking results before using them as evidence in an answer. Hosted API access is separate from Elastic Cloud inference and licensed on-premise model deployment. ## O que Jina AI pode fazer? ### Read web pages into usable text Fetch a supplied URL and convert its content into text for LLM input. Configure format, token budget, timeouts, and selectors for supported page content. A target website may still block access or return incomplete information. ### Search the web and return results Retrieve web search results as text suitable for a downstream LLM. Result details can include URLs, titles, content, and available timestamps; verify important findings at the underlying pages. ### Create text and image embeddings Choose a supporting embedding model to turn text or image inputs into fixed-length vectors for semantic retrieval and matching. Check the selected model’s supported inputs and task configuration. ### Rerank documents for a query Rank a supplied set of candidate documents against a query after initial retrieval. Relevance scores and ordering help select material; they do not verify the documents’ factual accuracy. ### Use APIs in LLM workflows Jina provides an MCP server at mcp.jina.ai for connecting its APIs to LLMs. API access is available through documented HTTP endpoints. ## Casos de uso ### Prepare web sources for an LLM Fetch a page with the Reader API and pass its extracted text into a summarization, question-answering, or other LLM workflow. ### Build web-grounded answer flows Gather candidate sources with Search and read the relevant pages before passing material to an answer-generating model. Account for access restrictions, caching, and source reliability rather than assuming search output is complete or current in every case. ### Find relevant items in a content collection Embed text or image data as vectors and use those representations in a retrieval or matching pipeline. ### Improve search result ordering Send a query and candidate documents to the Reranker API to sort results by query relevance after an initial retrieval step. ### Connect search services to an LLM agent Configure the Jina MCP server as an MCP endpoint so an LLM workflow can use Jina APIs. ## Perguntas frequentes ### What services are available through Jina AI's APIs? Use Reader at r.jina.ai, Search at s.jina.ai, and the Embeddings and Reranker APIs at api.jina.ai. The Jina MCP endpoint lets an LLM workflow access these services. ### What does the Reader API return? Reader converts a supplied URL into text for LLM input. When configured for JSON output, the response includes the URL, title, extracted content, and a timestamp when available. ### Can I use Jina AI without an API key? Basic URL reading through r.jina.ai is available without a key, under its IP-based limit. Search, Embeddings, and Reranker require an API key. Limits differ by endpoint and key tier, and both request and token limits can apply; do not use the Reader allowance as a quota for every API. ### Does the Embedding API accept images as well as text? Some embedding models accept text and images. Select the model appropriate for your inputs rather than assuming every embedding model is multimodal. ### What is free, and when do I pay? Basic anonymous Reader use is free. Keyed API use is metered in tokens, and paid token top-ups provide continued access after an introductory balance is consumed. The new-key free tokens are a finite grant, not a recurring monthly allowance. Check the endpoint’s accounting rules and rate limits when estimating a workload. ### Do API token purchases license a local model deployment? No. Token purchases cover the hosted Jina APIs. Model weights have their own license terms, and commercial on-premise delivery is licensed separately from hosted tokens or Elastic Cloud billing. Choose the deployment path and check the selected model’s terms before self-hosting. ## Informações rápidas - **Product**: Search foundation models and hosted APIs - **Intended users**: Professional developers building retrieval and AI applications - **Core model tasks**: Embedding, query-based reranking, and document reading - **Interfaces**: HTTP APIs and an MCP endpoint - **Access model**: Free basic Reader and metered keyed API usage