Jina Embeddings

Blocks for generating text embeddings using Jina AI.

Jina Embedding

What it is

Generates embeddings using Jina AI

How it works

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.

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

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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