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DeepSearch
Search, read and reason until best answer found.
Reader
Convert any URL to Markdown for better grounding LLMs.
Embeddings
World-class multimodal multilingual embeddings.
Reranker
World-class reranker for maximizing search relevancy.
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Classifier
Zero-shot and few-shot classification for image and text.
Segmenter
Cut long text into chunks and do tokenization.

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Auto codegen for your copilot IDE or LLM
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lockhttps://jina.ai/llm-serp-demo
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About 12 results (0.41 seconds)
Jina AI
Jina AI - Neural Search for Everyone
Jina AI is an open-source neural search company. We build the next generation search for unstructured data. Our mission is to enable developers to build AI-powered search applications.
GitHub
jina-ai · GitHub
jina-ai has 38 repositories available. Follow their code on GitHub.
Wikipedia
Jina - Wikipedia
I'm sorry, but there is no Wikipedia article about "Jina AI". Perhaps you meant the name "Jina" which is a name of Indian origin.
YouTube
Jina AI - Build Neural Search Applications with Python
Jina AI - Build Neural Search Applications with Python. In this video, we will build a neural search application with Jina AI.
VentureBeat
Jina AI raises $30M to help developers build neural search applications
Jina AI, a San Francisco-based startup, has raised $30 million in a series B funding round. The round was led by GGV Capital and saw participation from Mango Capital, SAP.iO Fund, and others. Jina AI offers an open-source neural search platform that lets developers build search applications for unstructured data.
Crunchbase
Jina AI - Crunchbase Company Profile & Funding
Jina AI is a San Francisco-based company that offers a neural search platform for developers. The company's platform allows developers to build search applications for unstructured data.
Medium
Jina AI – Medium
Read writing from Jina AI on Medium. Every day, Jina AI and thousands of other voices read, write, and share important stories on Medium.
LinkedIn
Jina AI | LinkedIn
Learn about working at Jina AI. Join LinkedIn today for free. See who you know at Jina AI, leverage your professional network, and get hired.
Product Hunt
Jina - Product Hunt
Jina is a neural search framework that empowers developers to build search applications for unstructured data.
Twitter
Jina AI (@JinaAI_) / Twitter
Jina AI (@JinaAI_). We build the next generation search for unstructured data. Open source neural search. San Francisco, CA. jina.ai Joined July 2019.
LLMSERP
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codeAPI
Why it can be useful?

FAQ

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What is SERP?
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SERP stands for Search Engine Results Page, which is the page displayed by search engines in response to a query by a user. It includes a list of results, often with additional information such as URLs, snippets, domain name.
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So all search results are generated by LLM?
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Yes, LLM-as-SERP uses large language models to generate search results.
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Why are some URLs in the search results broken and lead to 404 pages?
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Hallucinations.
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Then why are some URLs real and lead to the actual page?
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They may be in the model's training data.
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Can I call it via API?
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Yes, you can use the LLM-as-SERP API to generate search results. Click the button below.
codeAPI
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But if all search results are fake, what's the point of this demo or API?
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We developed it while experimenting with DeepSearch's search-grounding. Read our blog post by clicking the button.
Why it can be useful?
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Is it open source?
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Yes, the code is open source and available on GitHub.
node-serpopen_in_new

How to get my API key?

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What's the rate limit?

Rate Limit
Rate limits are tracked in three ways: RPM (requests per minute), and TPM (tokens per minute). Limits are enforced per IP/API key and will be triggered when either the RPM or TPM threshold is reached first. When you provide an API key in the request header, we track rate limits by key rather than IP address.
ProductAPI EndpointDescriptionarrow_upwardw/o API Keykey_offw/ API Keykeyw/ Premium API KeykeyAverage LatencyToken Usage CountingAllowed Request
Reader APIhttps://r.jina.aiConvert URL to LLM-friendly text20 RPM500 RPMtrending_up5000 RPM7.9sCount the number of tokens in the output response.GET/POST
Reader APIhttps://s.jina.aiSearch the web and convert results to LLM-friendly textblock100 RPMtrending_up1000 RPM2.5sEvery request costs a fixed number of tokens, starting from 10000 tokensGET/POST
DeepSearchhttps://deepsearch.jina.ai/v1/chat/completionsReason, search and iterate to find the best answerblock50 RPM500 RPM56.7sCount the total number of tokens in the whole process.POST
Embedding APIhttps://api.jina.ai/v1/embeddingsConvert text/images to fixed-length vectorsblock500 RPM & 1,000,000 TPMtrending_up2,000 RPM & 5,000,000 TPM
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depends on the input size
help
Count the number of tokens in the input request.POST
Reranker APIhttps://api.jina.ai/v1/rerankRank documents by queryblock500 RPM & 1,000,000 TPMtrending_up2,000 RPM & 5,000,000 TPM
ssid_chart
depends on the input size
help
Count the number of tokens in the input request.POST
Classifier APIhttps://api.jina.ai/v1/trainTrain a classifier using labeled examplesblock20 RPM & 200,000 TPM60 RPM & 1,000,000 TPM
ssid_chart
depends on the input size
Tokens counted as: input_tokens × num_itersPOST
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
ssid_chart
depends on the input size
Tokens counted as: input_tokensPOST
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
ssid_chart
depends on the input size
Tokens counted as: input_tokens + label_tokensPOST
Segmenter APIhttps://api.jina.ai/v1/segmentTokenize and segment long text20 RPM200 RPM1,000 RPM0.3sToken is not counted as usage.GET/POST
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Shenzhen, China
402 Floor 4, Fu'an Technology Building, Shenzhen, China
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