notifications
News
box
Products
keyboard_arrow_down
For Enterprises
Embeddings
World-class multimodal multilingual embeddings.
Reranker
World-class neural retriever for maximizing search relevancy.
Reader
Read URLs and search web for better grounding LLMs.
Classifier
Zero-shot and few-shot classification for image and text.
Segmenter
Cut long text into chunks and do tokenization.
For Power Users
PromptPerfect
Premier tool for prompt engineering
More power user tools
keyboard_arrow_down
SceneXplain
Leading AI solution for image captions and video summaries
BestBanner
Blog to banner, without the prompts!
JinaChat
More modality, longer memory, less cost
Rationale
Ultimate AI decision-making tools
Company
keyboard_arrow_down
About us
Contact sales
Intern program
Join us
open_in_new
Download logo
open_in_new
Terms & Conditions
login
Log in

Embeddings
new_releases clip-v2 release!

Top-performing multimodal multilingual long-context embeddings for search, RAG, agents applications.

Embedding API

Try our world-class embedding models to improve your search and RAG systems. Start with a free trial!
key
API Key & Billing
code
Usage
conversion_path
Integrate
more_horiz
More
chevron_leftchevron_right
home
Auto preview
forum Raise issue
help_outlineFAQ
api
Status
chevron_leftchevron_right
Example inputs
Change them and see how the response changes!
upload
Request
curl https://api.jina.ai/v1/embeddings \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer " \
  -d @- <<EOFEOF
  {
    "normalized": true,
    "embedding_type": "float",
    "input": [
        "Organic skincare for sensitive skin with aloe vera and chamomile: Imagine the soothing embrace of nature with our organic skincare range, crafted specifically for sensitive skin. Infused with the calming properties of aloe vera and chamomile, each product provides gentle nourishment and protection. Say goodbye to irritation and hello to a glowing, healthy complexion.",
        "Bio-Hautpflege für empfindliche Haut mit Aloe Vera und Kamille: Erleben Sie die wohltuende Wirkung unserer Bio-Hautpflege, speziell für empfindliche Haut entwickelt. Mit den beruhigenden Eigenschaften von Aloe Vera und Kamille pflegen und schützen unsere Produkte Ihre Haut auf natürliche Weise. Verabschieden Sie sich von Hautirritationen und genießen Sie einen strahlenden Teint.",
        "Cuidado de la piel orgánico para piel sensible con aloe vera y manzanilla: Descubre el poder de la naturaleza con nuestra línea de cuidado de la piel orgánico, diseñada especialmente para pieles sensibles. Enriquecidos con aloe vera y manzanilla, estos productos ofrecen una hidratación y protección suave. Despídete de las irritaciones y saluda a una piel radiante y saludable.",
        "针对敏感肌专门设计的天然有机护肤产品：体验由芦荟和洋甘菊提取物带来的自然呵护。我们的护肤产品特别为敏感肌设计，温和滋润，保护您的肌肤不受刺激。让您的肌肤告别不适，迎来健康光彩。",
        "新しいメイクのトレンドは鮮やかな色と革新的な技術に焦点を当てています: 今シーズンのメイクアップトレンドは、大胆な色彩と革新的な技術に注目しています。ネオンアイライナーからホログラフィックハイライターまで、クリエイティビティを解き放ち、毎回ユニークなルックを演出しましょう。"
    ]
  }
EOFEOF

clip-v2: Multilingual Multimodal Embeddings

jina-clip-v2 is a 0.9B CLIP-style model that brings three major advances: multilingual support for 89 languages, high image resolution at 512x512, and Matryoshka representation learning for truncated embeddings.
Read Release Notearrow_forward

v3: Frontier Multilingual Embeddings

jina-embeddings-v3 is a frontier multilingual text embedding model with 570M parameters and 8192 token-length, outperforming the latest proprietary embeddings from OpenAI and Cohere on MTEB. Read our blog post and research paper below.

Three Ways to Purchase

Subscribe to our API, purchase through cloud providers, or obtain a commercial license for your organization.
radio_button_unchecked
cloud
With 3 cloud service providers
Using AWS or Azure? You can deploy our models directly on your company's cloud platform and handle billing through the CSP account.
AWS SageMaker
Embeddings
Reranker
Microsoft Azure
Embeddings
Reranker
Google Cloud
Embeddings
Reranker
radio_button_checked
With Jina Search Foundation API
The easiest way to access all of our products. Top-up tokens as you go.
Top up this API key with more tokens
Depending on your location, you may be charged in USD, EUR, or other currencies. Taxes may apply.
Please input the right API key to top up
Understand the rate limit
Rate limits are the maximum number of requests that can be made to an API within a minute per IP address (RPM). Find out more about the rate limits for each product and tier below.
keyboard_arrow_down
Rate Limit
Rate limits are tracked in two ways: RPM (requests per minute) and TPM (tokens per minute). Limits are enforced per IP and can be reached based on whichever threshold—RPM or TPM—is hit first.
ProductAPI EndpointDescriptionarrow_upwardw/o API Keyw/ API Keyw/ Premium API KeyAverage LatencyToken Usage CountingAllowed Request
Embedding APIhttps://api.jina.ai/v1/embeddingsConvert text/images to fixed-length vectorsblock500 RPM & 1,000,000 TPM2,000 RPM & 5,000,000 TPM
bolt
depends on the input size
help
Count the number of tokens in the input request.POST
Reranker APIhttps://api.jina.ai/v1/rerankTokenize and segment long textblock500 RPM & 1,000,000 TPM2,000 RPM & 5,000,000 TPM
bolt
depends on the input size
help
Count the number of tokens in the input request.POST
Reader APIhttps://r.jina.aiConvert URL to LLM-friendly text20 RPM200 RPM1000 RPM4.6sCount the number of tokens in the output response.GET/POST
Reader APIhttps://s.jina.aiSearch the web and convert results to LLM-friendly textblock40 RPM100 RPM8.7sCount the number of tokens in the output response.GET/POST
Reader APIhttps://g.jina.aiGrounding a statement with web knowledgeblock10 RPM30 RPM22.7sCount the total number of tokens in the whole process.GET/POST
Classifier API (Zero-shot)https://api.jina.ai/v1/classifyClassify inputs using zero-shot classificationblock200 RPM & 500,000 TPM1,000 RPM & 3,000,000 TPM
bolt
depends on the input size
Tokens counted as: input_tokens + label_tokensPOST
Classifier API (Few-shot)https://api.jina.ai/v1/classifyClassify inputs using a trained few-shot classifierblock20 RPM & 200,000 TPM60 RPM & 1,000,000 TPM
bolt
depends on the input size
Tokens counted as: input_tokensPOST
Classifier APIhttps://api.jina.ai/v1/trainTrain a classifier using labeled examplesblock20 RPM & 200,000 TPM60 RPM & 1,000,000 TPM
bolt
depends on the input size
Tokens counted as: input_tokens × num_itersPOST
Segmenter APIhttps://segment.jina.aiTokenize and segment long text20 RPM200 RPM1,000 RPM0.3sToken is not counted as usage.GET/POST
Auto-recharge when tokens are low
Recommended for uninterrupted service in production. When your token balance is below the threshold you set, we will automatically recharge your credit card for the same amount as your last top-up. If you purchased multiple packs in the last top-up, we will recharge only one pack.
check
radio_button_unchecked
encrypted
With a commercial license for on-prem deployment
Require 100% control and privacy? Purchase a commercial license to use our models on-premises.
Try Before You Buy
Get 1M free API tokens or use our Hugging Face model to validate performance
Review License Terms
Review commercial license rights and limitations before purchase
Termsopen_in_new
Secure payment via Stripe
Depending on your location, you may be charged in USD, EUR, or other currencies. Taxes may apply.
For Growing Businesses
Commercial License
Every model you need for better search
jina-clip-v2
task_alt Unlimited commercial use of our CC BY-NC models
task_alt Three hours of consulting with our model experts
task_alt Access to future CC BY-NC models without permission
$1,000 / 3 months
Exclusive for companies under 100 employees or $5M revenue
add_shopping_cart

On-premises deployment

Deploy Jina Embeddings models in AWS Sagemaker and Microsoft Azure, and soon in Google Cloud Services, or contact our sales team to get customized Kubernetes deployments for your Virtual Private Cloud and on-premises servers.
AWS SageMaker
Embeddings
Reranker
Microsoft Azure
Embeddings
Reranker
Google Cloud
Embeddings
Reranker
API Integrations
Our Embedding API is natively integrated with various renowned databases, vector stores, RAG, and LLMOps frameworks. To begin, just copy and paste your API key into any of the listed integrations for a quick and seamless start.
Vector Store
LLMOps
RAG
Observability
open_in_new
MongoDB
open_in_new
DataStax
open_in_new
Qdrant
open_in_new
Pinecone
open_in_new
Chroma
open_in_new
Weaviate
open_in_new
Milvus
open_in_new
Epsilla
open_in_new
MyScale
open_in_new
LlamaIndex
open_in_new
Haystack
open_in_new
Langchain
open_in_new
Dify
open_in_new
SuperDuperDB
open_in_new
DashVector
open_in_new
Portkey
open_in_new
Baseten
open_in_new
TiDB
open_in_new
LanceDB
open_in_new
Carbon

Our Publications

Understand how our frontier search models were trained from scratch, check out our latest publications. Meet our team at EMNLP, SIGIR, ICLR, NeurIPS, and ICML!
arXiv
September 18, 2024
jina-embeddings-v3: Multilingual Embeddings With Task LoRA
arXiv
September 07, 2024
Late Chunking: Contextual Chunk Embeddings Using Long-Context Embedding Models
arXiv
August 30, 2024
Jina-ColBERT-v2: A General-Purpose Multilingual Late Interaction Retriever
arXiv
June 21, 2024
Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models
ICML 2024
May 30, 2024
Jina CLIP: Your CLIP Model Is Also Your Text Retriever
arXiv
February 26, 2024
Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings
arXiv
October 30, 2023
Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents
EMNLP 2023
July 20, 2023
Jina Embeddings: A Novel Set of High-Performance Sentence Embedding Models
8 publications in total.

Learning about Embeddings

Where to start with embeddings? We've got you covered. Learn about embeddings from the ground up with our comprehensive guide.
Two hands, each holding a key positioned to interact with each other, depicted against a deep blue background.
November 27, 2024 • 10 minutes read
Watermarking Text with Embedding Models to Protect Against Content Theft
You use our embedding models to do what? This might be the most "out-of-domain" applications of embeddings we learned at EMNLP 2024.
Han Xiao
Digital number "2" displayed in a mosaic of colorful squares against a dark background, creating a futuristic vibe.
November 21, 2024 • 9 minutes read
Jina CLIP v2: Multilingual Multimodal Embeddings for Text and Images
Jina-CLIP v2, a 0.9B multimodal embedding model with multilingual support of 89 languages, high image resolution at 512x512, and Matryoshka representations.
Jina AI
Event poster for "Embedding Reranker, Small LM & Better Search" on Nov 14, 2024, from 10:30 to 12:00 at Miami Lecture Hall. F
November 05, 2024 • 2 minutes read
Call for Participants: EMNLP 2024 BoF on Embeddings, Reranker & Small LMs for Better Search
At EMNLP 2024 Miami? Join us for a Birds of a Feather session focusing on embeddings, rerankers, and small LMs for better search.
Jina AI
Neon green squares form intricate patterns on a black digital background, creating a dynamic, abstract design.
October 09, 2024 • 13 minutes read
Bridging Language Gaps in Multilingual Embeddings via Contrastive Learning
Multilingual models often face a "language gap," where similar phrases in different languages don't align. We show how contrastive learning can bridge this gap, enhancing cross-language performance.
Bo Wang
Scott Martens
Alex C-G

Comparison of Reranker, Vector Search, and BM25

The table below provides a comprehensive comparison of the Reranker, Vector/Embeddings Search, and BM25, highlighting their strengths and weaknesses across various categories.
RerankerVector SearchBM25
Best ForEnhanced search precision and relevanceInitial, rapid filteringGeneral text retrieval across wide-ranging queries
GranularityDetailed: Sub-document and query segmentBroad: Entire documentsIntermediate: Various text segments
Query Time ComplexityHighMediumLow
Indexing Time ComplexityNot requiredHighLow, utilizes pre-built index
Training Time ComplexityHighHighNot required
Search QualitySuperior for nuanced queriesBalanced between efficiency and accuracyConsistent and reliable for a broad set of queries
StrengthsHighly accurate with deep contextual understandingQuick and efficient, with moderate accuracyHighly scalable, with established efficacy
Try reranker API for freeTry embedding API for free

The Evolution of Embeddings Poster

Discover the ideal poster for your space, featuring captivating infographics or breathtaking visuals tracing the evolution of text embedding models since 1950.
Learn how we made it
shopping_cartBuy a hard copy

FAQ

How to get my API key?

video_not_supported

What's the rate limit?

Rate Limit
Rate limits are tracked in two ways: RPM (requests per minute) and TPM (tokens per minute). Limits are enforced per IP and can be reached based on whichever threshold—RPM or TPM—is hit first.
ProductAPI EndpointDescriptionarrow_upwardw/o API Keyw/ API Keyw/ Premium API KeyAverage LatencyToken Usage CountingAllowed Request
Embedding APIhttps://api.jina.ai/v1/embeddingsConvert text/images to fixed-length vectorsblock500 RPM & 1,000,000 TPM2,000 RPM & 5,000,000 TPM
bolt
depends on the input size
help
Count the number of tokens in the input request.POST
Reranker APIhttps://api.jina.ai/v1/rerankTokenize and segment long textblock500 RPM & 1,000,000 TPM2,000 RPM & 5,000,000 TPM
bolt
depends on the input size
help
Count the number of tokens in the input request.POST
Reader APIhttps://r.jina.aiConvert URL to LLM-friendly text20 RPM200 RPM1000 RPM4.6sCount the number of tokens in the output response.GET/POST
Reader APIhttps://s.jina.aiSearch the web and convert results to LLM-friendly textblock40 RPM100 RPM8.7sCount the number of tokens in the output response.GET/POST
Reader APIhttps://g.jina.aiGrounding a statement with web knowledgeblock10 RPM30 RPM22.7sCount the total number of tokens in the whole process.GET/POST
Classifier API (Zero-shot)https://api.jina.ai/v1/classifyClassify inputs using zero-shot classificationblock200 RPM & 500,000 TPM1,000 RPM & 3,000,000 TPM
bolt
depends on the input size
Tokens counted as: input_tokens + label_tokensPOST
Classifier API (Few-shot)https://api.jina.ai/v1/classifyClassify inputs using a trained few-shot classifierblock20 RPM & 200,000 TPM60 RPM & 1,000,000 TPM
bolt
depends on the input size
Tokens counted as: input_tokensPOST
Classifier APIhttps://api.jina.ai/v1/trainTrain a classifier using labeled examplesblock20 RPM & 200,000 TPM60 RPM & 1,000,000 TPM
bolt
depends on the input size
Tokens counted as: input_tokens × num_itersPOST
Segmenter APIhttps://segment.jina.aiTokenize and segment long text20 RPM200 RPM1,000 RPM0.3sToken is not counted as usage.GET/POST

Do I need a commercial license?

CC BY-NC License Self-Check
play_arrow
Are you using our official API or official images on Azure or AWS?
play_arrow
done
Yes
play_arrow
Are you using a paid API key or free trial key?
play_arrow
done
Paid API key
No restrictions. Use as per your current agreement.
play_arrow
info
Free API key
Free trial key can be only used for non-commercial purposes. Please purchase a paid package for commercial use.
play_arrow
Are you using our official model images on AWS and Azure?
No restrictions. Use as per your current agreement.
play_arrow
close
No
play_arrow
Are you using these models?
jina-clip-v2
jina-embeddings-v3
jina-reranker-v2-base-multilingual
jina-colbert-v2
reader-lm-1.5b
reader-lm-0.5b
play_arrow
close
No
No restrictions apply.
play_arrow
done
Yes
play_arrow
Is your use commercial?
play_arrow
question_mark
Not sure
play_arrow
Are you:
play_arrow
Using it for personal or hobby projects?
This is non-commercial. You can use the models freely.
play_arrow
A for-profit company using it internally?
This is commercial. Contact our sales team.
Contact sales
play_arrow
An educational institution using it for teaching?
This is typically non-commercial. You can use the models freely.
play_arrow
A non-profit or NGO using it for your mission?
This is typically non-commercial, but check with us if unsure.
Contact sales
play_arrow
Using it in a product or service you sell?
This is commercial. Contact our sales team.
Contact sales
play_arrow
A government entity using it for public services?
This may be commercial. Please contact us for clarification.
Contact sales
play_arrow
close
No
You can use the models freely.
play_arrow
done
Yes
Contact our sales team for licensing.
Contact sales

Other questions

Embeddings-related common questions
How were the jina-embeddings-v2 models trained?
keyboard_arrow_down
For detailed information on our training processes, data sources, and evaluations, please refer to our technical report available on arXiv.
launcharXiv
What is jina-clip-v1, can I use it for search text and image?
keyboard_arrow_down
Jina CLIP jina-clip-v1 is the latest multimodal embedding model that supports text-text, text-image, image-image, and image-text retrieval tasks. Unlike OpenAI CLIP model that falls short on text-text search, Jina CLIP is trained to be your text retriever. You can read more about it from our tech report.
launcharXiv
Which languages do your models support?
keyboard_arrow_down
Our models support English, German, Spanish, Chinese, various programming languages and images. For more details, please refer to our publication on bilingual models.
launcharXiv
What is the maximum length for a single sentence input?
keyboard_arrow_down
Our models allow for an input length of up to 8192 tokens, which is significantly higher than most other models. A token can range from a single character, like 'a', to an entire word, such as 'apple'. The total number of characters that can be input depends on the length and complexity of the words used. This extended input capability enables our jina-embeddings-v2 models to perform more comprehensive text analysis and achieve higher accuracy in context understanding, especially for extensive textual data.
What is the maximum number of sentences I can include in a single request?
keyboard_arrow_down
A single API call can process up to 2048 sentences or texts, facilitating extensive text analysis in one request.
How do I send images to the jina-clip-v1 model?
keyboard_arrow_down
You can use either url or bytes in the input field of the API request. For url, provide the URL of the image you want to process. For bytes, encode the image in base64 format and include it in the request. The model will return the embeddings of the image in the response.
How do Jina Embeddings models compare to OpenAI's text-embedding-ada-002 model?
keyboard_arrow_down
According to the MTEB Leaderboard, our Base model competes closely with OpenAI’s text-embedding-ada-002, exhibiting comparable performance on average. Furthermore, our Base model excels in several tasks, including classification, pair-classification, re-ranking, and summarization, outperforming OpenAI’s model.
How seamless is the transition from OpenAI's text-embedding-ada-002 to your solution?
keyboard_arrow_down
The transition is streamlined, as our API endpoint, https://api.jina.ai/v1/embeddings, matches the input and output JSON schemas of OpenAI’s text-embeddings-ada-002 model. This compatibility ensures users can easily replace the OpenAI model with ours when using OpenAI’s endpoint.
How tokens are calculated when using jina-clip-v1?
keyboard_arrow_down
The tokens are calculated based on the text length and image size. For text in the request, tokens are counted in the standard way. For image in the request, the following steps are conducted: 1. Tile Size: Each image is divided into tiles of size 224x224 pixels. 2. Coverage: The number of tiles required to completely cover the input image is calculated. Even if the image dimensions are not perfectly divisible by 224, we will count partial tiles as full tiles. 3. Total Tiles: The total number of tiles covering the image determines the cost. For instance, if an image is 500x500 pixels, it would be covered by 3x3 tiles, resulting in 9 tiles. 4. Cost Calculation: Each tile contributes to the final cost of processing the image. The cost per tile is 1000 tokens. Example: For an image with dimensions 500x500 pixels: • The image is divided into 224x224 pixel tiles. • The total number of tiles required is 3 (horizontal) x 3 (vertical) = 9 tiles. • The cost will be 9*1000 = 9000 tokens
Do you provide models for embedding images or audio?
keyboard_arrow_down
Yes, jina-clip-v1 can embed both images and texts. Embedding models on more modalities will be announced soon!
Can Jina Embedding models be fine-tuned with private or company data?
keyboard_arrow_down
For inquiries about fine-tuning our models with specific data, please contact us to discuss your requirements. We are open to exploring how our models can be adapted to meet your needs.
Contact
Can your endpoints be hosted privately on AWS, Azure, or GCP?
keyboard_arrow_down
Yes, our services are available on the AWS marketplace, and we are in the process of expanding to Azure and GCP marketplaces. If you have particular requirements, please contact us at sales AT jina.ai.
launchAWS SageMaker
API-related common questions
code
Can I use the same API key for embedding, reranking, reader, fine-tuning APIs?
keyboard_arrow_down
Yes, the same API key is valid for all search foundation products from Jina AI. This includes the embedding, reranking, reader and fine-tuning APIs, with tokens shared between the all services.
code
Can I monitor the token usage of my API key?
keyboard_arrow_down
Yes, token usage can be monitored in the 'Buy tokens' tab by entering your API key, allowing you to view the usage history and remaining tokens.
code
What should I do if I forget my API key?
keyboard_arrow_down
If you have misplaced a topped-up key and wish to retrieve it, please contact support AT jina.ai with your registered email for assistance.
Contact
code
Do API keys expire?
keyboard_arrow_down
No, our API keys do not have an expiration date. However, if you suspect your key has been compromised and wish to retire it or transfer its tokens to a new key, please contact our support team for assistance.
Contact
code
Why is the first request for some models slow?
keyboard_arrow_down
This is because our serverless architecture offloads certain models during periods of low usage. The initial request activates or 'warms up' the model, which may take a few seconds. After this initial activation, subsequent requests process much more quickly.
code
Is user input data used for training your models?
keyboard_arrow_down
We adhere to a strict privacy policy and do not use user input data for training our models.
Billing-related common questions
attach_money
Is billing based on the number of sentences or requests?
keyboard_arrow_down
Our pricing model is based on the total number of tokens processed, allowing users the flexibility to allocate these tokens across any number of sentences, offering a cost-effective solution for diverse text analysis requirements.
attach_money
Is there a free trial available for new users?
keyboard_arrow_down
We offer a welcoming free trial to new users, which includes one million tokens for use with any of our models, facilitated by an auto-generated API key. Once the free token limit is reached, users can easily purchase additional tokens for their API keys via the 'Buy tokens' tab.
attach_money
Are tokens charged for failed requests?
keyboard_arrow_down
No, tokens are not deducted for failed requests.
attach_money
What payment methods are accepted?
keyboard_arrow_down
Payments are processed through Stripe, supporting a variety of payment methods including credit cards, Google Pay, and PayPal for your convenience.
attach_money
Is invoicing available for token purchases?
keyboard_arrow_down
Yes, an invoice will be issued to the email address associated with your Stripe account upon the purchase of tokens.
Offices
location_on
Sunnyvale, CA
710 Lakeway Dr, Ste 200, Sunnyvale, CA 94085, USA
location_on
Berlin, Germany (HQ)
Prinzessinnenstraße 19-20, 10969 Berlin, Germany
location_on
Beijing, China
Level 5, Building 6, No.48 Haidian West St. Beijing, China
location_on
Shenzhen, China
402 Floor 4, Fu'an Technology Building, Shenzhen, China
Search Foundation
Embeddings
Reranker
Reader
Classifier
Segmenter
Get Jina AI API key
Rate Limit
API Status
Company
About us
Contact sales
Newsroom
Intern program
Join us
open_in_new
Download logo
open_in_new
Terms
Commercial License
Security
Terms & Conditions
Privacy
Manage Cookies
email
Jina AI © 2020-2024.