Jina Embeddings

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Blocks for generating text embeddings using Jina AI.

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Jina Embedding

What it is

Generates embeddings using Jina AI

How it works

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This block generates vector embeddings for text using Jina AI's embedding models. Embeddings are numerical representations that capture semantic meaning, enabling similarity search and clustering.

Optionally specify which Jina model to use for embedding generation.

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Inputs

Input	Description	Type	Required
texts	List of texts to embed	List[Any]	Yes
model	Jina embedding model to use	str	No

Outputs

Output	Description	Type
error	Error message if the operation failed	str
embeddings	List of embeddings	List[Any]

Possible use case

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Semantic Search: Generate embeddings to enable semantic similarity search over documents.

Vector Database: Create embeddings for storage in vector databases like Pinecone or Weaviate.

Document Clustering: Embed documents to cluster similar content or find related items.

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