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Jina AI

Jina AI offers best-in-class embeddings, rerankers, web reader, deepsearch, and small language models for multilingual and multimodal data.

Introduction

Jina AI provides a search foundation supercharged with cutting-edge AI models and services. It offers tools for enterprises to build high-quality search and Retrieval-Augmented Generation (RAG) systems. Key features include multilingual and multimodal embeddings, rerankers, a web reader for converting URLs to LLM-friendly input, DeepSearch for comprehensive search and reasoning, and zero/few-shot classifiers and segmenters. Jina AI's products target users needing advanced search capabilities, such as developers, researchers, and enterprises.

Alternatives

  • OpenAI

    OpenAI offers a comprehensive suite of powerful language models and embedding APIs for various NLP and search tasks.

  • Cohere

    Cohere provides enterprise-grade large language models, embeddings, and rerankers, directly competing with Jina's core offerings for semantic search and generation.

  • Hugging Face

    Hugging Face serves as a central hub for open-source models, including a vast array of embeddings and transformer models for building custom NLP and search solutions.

  • Pinecone

    Pinecone is a leading vector database optimized for semantic search and RAG applications, often used with embedding models to achieve similar deep search capabilities.

  • Weaviate

    Weaviate is an open-source vector database that facilitates semantic search, RAG, and multimodal data handling, offering an alternative for building intelligent search systems.

  • Google Cloud Vertex AI

    Google Cloud Vertex AI provides a managed platform with access to Google's foundation models, custom model training, and tools for building AI applications including embeddings and search.

  • AWS Bedrock

    AWS Bedrock offers a fully managed service to access foundation models from various providers, enabling users to build generative AI applications, including those requiring embeddings and language models.

  • Voyage AI

    Voyage AI specializes in developing high-performance and cost-efficient embedding models, providing a direct alternative for Jina's embedding services.

  • Mistral AI

    Mistral AI develops powerful and efficient small language models, offering an alternative for applications requiring compact yet capable LLMs.

  • Elasticsearch (with vector search)

    Elasticsearch is a robust search engine that now integrates vector search capabilities, allowing for semantic search and retrieval similar to Jina's deepsearch.

User Reviews

4.7/5.0
(49reviews)
Click stars to rate

Pricing

Pricing Model: Freemium, Usage-based

Free Tier / Toy Experiment

Provides basic API access, limited token usage, community support, and standard rate limits. Includes 10 million free tokens, for non-commercial use only.

Free
one-time (for initial tokens)

Pay-per-Use (Flexible)

Flexible usage, supports auto-recharge options, standard API access, and email support. Reader API and Segmenter API are available for free use, with Segmenter API offering higher rate limits at no charge after providing an API key.

Free (usage-based)
usage-based

Prototype Development

Includes 1 billion tokens, with a cost of $0.050 per million tokens. Provides standard API key, basic key management, and technical support.

$50
one-time

Production Deployment

Includes 11 billion tokens, with a cost of $0.045 per million tokens. Provides advanced API key, higher rate limits, advanced key management, premium customer support within 24 hours, and one hour of integration consulting.

$500
one-time

FAQ

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