Jina AI
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Jina AI Search Foundation — Reader, web search, embeddings, reranker and classifier on one API key.
OCNORA ships 12 typed Jina AI operations. Each node has a schema-driven form, input and output tables beside its settings, and is pre-flighted by Workflow Health before your first real run. Anything not covered by a typed node reaches https://api.jina.ai through the HTTP node with the same credential.
Operations 12
- Cancel Batch JobCancel a batch embedding job that is still running.jina.cancel_batch
- Classify TextClassify inputs zero-shot against candidate labels, or with a classifier previously trained on this account.jina.classify
- Start Batch Embedding JobSubmit an asynchronous batch embedding job for a large corpus and return the job id and its starting status, not the vectors.jina.create_batch_embedding
- Create EmbeddingsTurn text, images or code into embedding vectors with a Jina embedding model, for semantic search or clustering.jina.embed
- Get Batch JobPoll one batch embedding job and report its state and per-line completed and failed counts.jina.get_batch
- Get ModelFetch one model's metadata: modalities, context length, pricing and the datacenters that serve it.jina.get_model
- List Batch JobsList the batch embedding jobs this API key has submitted.jina.list_batches
- List ModelsList the models this API serves, with their modalities, context length and pricing.jina.list_models
- Read URLFetch one web page through the Jina Reader and return it as LLM-ready markdown, HTML, plain text or a screenshot URL.jina.read_url
- Rerank DocumentsScore a list of documents against a query with a Jina reranker and return them ordered by relevance.jina.rerank
- Search the WebRun a web search and return the results already read into LLM-ready content, in search-engine results page order.jina.search
- Train ClassifierTrain a few-shot classifier from labelled examples, or add more examples to a classifier that already exists.jina.train_classifier
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