Working with Jina AI in Pixeltable

What it covers

• Text Embeddings
• Multilingual Embeddings
• Embedding Index for Similarity Search
• Reranking
• Learn More

What it uses

Install

terminal

$pip install pixeltable

Environment variables it names

JINA_API_KEY

Pixeltable calls

jina.embeddings()jina.rerank()pxt.create_table()add_computed_column()insert()add_embedding_index()similarity()

A look at the code

from pixeltable.functions import jina

# Create a table for document embeddings
docs_t = pxt.create_table('jina_demo.documents', {'text': pxt.String})

# Add computed column with Jina embeddings
# task='retrieval.passage' optimizes embeddings for documents to be searched
docs_t.add_computed_column(
    embedding=jina.embeddings(
        docs_t.text, model='jina-embeddings-v3', task='retrieval.passage'
    )
)

One cell of the notebook, copied as it is. Open it in Colab for the rest.

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