Jina AI ↗

Documentation Index#

Fetch the complete documentation index at: https://docs.pinecone.io/llms.txt Use this file to discover all available pages before exploring further.

export const PrimarySecondaryCTA = ({primaryLabel, primaryHref, primaryTarget, secondaryLabel, secondaryHref, secondaryTarget}) => {primaryLabel && primaryHref &&

  {primaryLabel}

<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
  <path d="M9.70492 6L8.29492 7.41L12.8749 12L8.29492 16.59L9.70492 18L15.7049 12L9.70492 6Z" fill="white" />
</svg>

{secondaryLabel && secondaryHref &&

    {secondaryLabel}
  
</a>

}

;

Jina Embeddings leverage powerful models to generate high-quality text embeddings that can process inputs up to 8,000 tokens. Jina Embeddings are designed to be highly versatile, catering to both domain-specific use cases, such as e-commerce, and language-specific needs, including Chinese and German. By providing robust models and the expertise to fine-tune them for specific requirements, Jina AI empowers developers to enhance their search functionalities, improve natural language understanding, and drive more insightful data analysis.

By integrating Pinecone with Jina, you can add knowledge to LLMs via retrieval augmented generation (RAG), greatly enhancing LLM ability for autonomous agents, chatbots, question-answering, and multi-agent systems.

<PrimarySecondaryCTA primaryHref={“https://jina.ai/embeddings/#apiform"} primaryLabel={“Get started”} primaryTarget={"_blank”} secondaryHref={“https://www.pinecone.io/models/jina-embeddings-v2-base-en/"} secondaryLabel={“Try the model”} />