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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.
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.
Jina AI - Build Neural Search Applications with Python. In this video, we will build a neural search application with Jina AI.
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.
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.
Read writing from Jina AI on Medium. Every day, Jina AI and thousands of other voices read, write, and share important stories on Medium.
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.
Jina is a neural search framework that empowers developers to build search applications for unstructured data.
Jina AI (@JinaAI_). We build the next generation search for unstructured data. Open source neural search. San Francisco, CA. jina.ai Joined July 2019.
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What is SERP?
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So all search results are generated by LLM?
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Why are some URLs in the search results broken and lead to 404 pages?
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Then why are some URLs real and lead to the actual page?
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Can I call it via API?
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But if all search results are fake, what's the point of this demo or API?
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Is it open source?
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Rate Limit
| Product | API Endpoint | Descriptionarrow_upward | w/o API Key | w/ API Key | w/ Premium API Key | Average Latency | Token Usage Counting | Allowed Request | |
|---|---|---|---|---|---|---|---|---|---|
| Embedding API | https://api.jina.ai/v1/embeddings | Convert text/images to fixed-length vectors | block | 500 RPM & 1,000,000 TPM | 2,000 RPM & 5,000,000 TPM | bolt depends on the input size help | Count the number of tokens in the input request. | POST | |
| Reranker API | https://api.jina.ai/v1/rerank | Tokenize and segment long text | block | 500 RPM & 1,000,000 TPM | 2,000 RPM & 5,000,000 TPM | bolt depends on the input size help | Count the number of tokens in the input request. | POST | |
| Reader API | https://r.jina.ai | Convert URL to LLM-friendly text | 20 RPM | 200 RPM | 1000 RPM | 4.6s | Count the number of tokens in the output response. | GET/POST | |
| DeepSearch | https://deepsearch.jina.ai/v1/chat/completions | Reason, search and iterate to find the best answer | 2 RPM | 10 RPM | 30 RPM | 56.7s | Count the total number of tokens in the whole process. | POST | |
| Reader API | https://s.jina.ai | Search the web and convert results to LLM-friendly text | block | 40 RPM | 100 RPM | 8.7s | Count the number of tokens in the output response. | GET/POST | |
science | Reader API | https://g.jina.ai | Grounding a statement with web knowledge | block | 10 RPM | 30 RPM | 22.7s | Count the total number of tokens in the whole process. | GET/POST |
| Classifier API (Zero-shot) | https://api.jina.ai/v1/classify | Classify inputs using zero-shot classification | block | 200 RPM & 500,000 TPM | 1,000 RPM & 3,000,000 TPM | bolt depends on the input size | Tokens counted as: input_tokens + label_tokens | POST | |
| Classifier API (Few-shot) | https://api.jina.ai/v1/classify | Classify inputs using a trained few-shot classifier | block | 20 RPM & 200,000 TPM | 60 RPM & 1,000,000 TPM | bolt depends on the input size | Tokens counted as: input_tokens | POST | |
| Classifier API | https://api.jina.ai/v1/train | Train a classifier using labeled examples | block | 20 RPM & 200,000 TPM | 60 RPM & 1,000,000 TPM | bolt depends on the input size | Tokens counted as: input_tokens × num_iters | POST | |
| LLM-as-SERP API | https://llm-serp.jina.ai | Use LLM to generate search engine results page | 2 RPM | 10 RPM | 30 RPM | 6.3s | Count the total number of tokens in the whole process. | POST | |
| Segmenter API | https://api.jina.ai/v1/segment | Tokenize and segment long text | 20 RPM | 200 RPM | 1,000 RPM | 0.3s | Token is not counted as usage. | GET/POST |
