## Introduction
Jina AI is an open-source, cloud-native neural search framework. It is used for building state-of-the-art and scalable deep learning search applications for any kind of modality, such as text, images, videos, and audio. Jina AI is designed to be easy to use, even for developers without prior experience with neural search.
## What is neural search?
Neural search is a new approach to search that uses deep learning models to understand and retrieve information. Traditional search engines rely on keyword matching to find relevant results. Neural search engines, on the other hand, can understand the semantics of the query and the results, and can retrieve results that are not explicitly matched to the query.
## How does Jina AI work?
Jina AI works by breaking down the search process into a series of steps, called executors. Each executor performs a specific task, such as text embedding, image matching, or video ranking. Executors can be chained together to create a complex search pipeline.
To perform a search, Jina AI first converts the query and the results into a common representation, such as a vector embedding. This allows Jina AI to compare the query to the results using a variety of similarity metrics. Jina AI then ranks the results based on their similarity to the query and returns the top results to the user.
## Features of Jina AI
Jina AI offers a number of features that make it a powerful tool for building neural search applications:
- Cloud-native: Jina AI is designed to be deployed in the cloud, making it easy to scale up and down your search applications.
- Modality agnostic: Jina AI can be used to search for any kind of data, including text, images, videos, and audio.
- Easy to use: Jina AI provides a high-level API that makes it easy for developers to build and deploy neural search applications, even without prior experience with neural search.
## Use cases for Jina AI
Jina AI can be used to build a wide variety of neural search applications, including:
- Product search: Jina AI can be used to build product search applications that can understand the semantics of product descriptions and customer queries.
- Question answering: Jina AI can be used to build question answering applications that can understand and answer complex questions.
- Recommendation systems: Jina AI can be used to build recommendation systems that can recommend products, articles, or other content to users based on their interests.
- Image search: Jina AI can be used to build image search applications that can understand and match images based on their visual content.
## Getting started with Jina AI
Getting started with Jina AI is easy. The Jina AI website provides a number of tutorials and resources that can help you get started. You can also find a number of pre-trained Jina AI models that you can use to build your own search applications.
## Conclusion**
Jina AI is a powerful and versatile neural search framework that can be used to build a wide variety of search applications. Jina AI is easy to use and is designed to be deployed in the cloud.
Keyword silo
- Neural search
- Deep learning search
- Multimodal search
- Cloud-native search
- Open-source search
- Jina AI features
- Jina AI use cases
- Getting started with Jina AI
## Example of a Jina AI application
One example of a Jina AI application is a product search application for an online retailer. The product search application would use Jina AI to index the product descriptions and customer queries. When a customer enters a query, the product search application would use Jina AI to search for the most relevant products and return them to the customer.
## Benefits of using Jina AI
There are a number of benefits to using Jina AI to build neural search applications:
- Improved search results: Jina AI can deliver more relevant search results than traditional search engines because it can understand the semantics of the query and the results.
- Increased user engagement: Jina AI can help users to find the information they need more quickly and easily, which can lead to increased user engagement.
- Boosted revenue: Jina AI can help businesses to increase their revenue by improving the conversion rate of their search results.
## Conclusion**
Jina AI is a powerful and easy-to-use neural search framework that can help businesses to improve their search results, increase user engagement, and boost revenue.
WebJina AI is an open-source, cloud-native neural search framework. It is used for building state-of-the-art and scalable deep learning search applications for any kind of. WebJina provides a smooth Pythonic experience for serving ML models transitioning from local deployment to advanced orchestration frameworks like Docker-Compose, Kubernetes, or. WebJina AI is a neural search company that provides cloud-native neural search solutions powered by AI and deep learning. It provides an open-source neural search ecosystem.
Jina Basics in Under 2 Minutes
Source: Youtube.com
Gold Retriever: Let ChatGPT talk to your data
Source: Youtube.com
What Is Jina Ai, Jina Basics in Under 2 Minutes, 3.09 MB, 02:15, 2,868, Jina AI, 2021-11-02T12:51:34.000000Z, 2, Jina AI Developer Portal, 341 x 800, jpg, , 3, what-is-jina-ai
What Is Jina Ai. WebPioneering the Future of Multimodal AI. Founded in February 2020, Jina AI has swiftly emerged as a global pioneer in multimodal AI technology. Within an impressive. WebWith that, let me reiterate what Jina is: Jina is a framework that provides a unified, cloud native solution for building cross-modal/multi-modal systems from day one. It provides.
Jack is back with another video explaining the three fundamental tools of Jina: Document, Executor and Flow.
👉 Click here to build applications using Jina: github.com/jina-ai/jina
🤝 Join our Slack community: slack.jina.ai
📚 Learn more: docs.jina.ai
What Is Jina Ai, WebJina AI is a neural search company that provides cloud-native neural search solutions powered by AI and deep learning. It provides an open-source neural search ecosystem.
Jina AI Developer Portal - Source: learn.jina.ai
Jina AI Raises $30 Million To Scale Open Source Neural Search Ecosystem - Source: opensourceforu.com
Jina AI - Crunchbase Company Profile & Funding - Source: crunchbase.com
jina.aiJina AI - Expert in Search: Embeddings, Re-ranking, PromptingJinaFinetunerCLIP-as-serviceNowAbout Jina AI
Jina Embeddings constitutes a set of high-performance sentence embedding models adept at translating textual inputs into numerical representations, capturing the semantics of the text. These models excel in applications like dense retrieval and semantic textual similarity.Jina lets you build multimodal AI services and pipelines,Jina AI's Finetuner makes fine-tuning easier and faster by...CLIP-as-service is a low-latency high-scalability service...NOW gives the world access to multimodal neural search with...Founded in 2020 and based in Berlin, Germany, Jina AI has... What is j'ai.
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techcrunch.com › 2021/11/22 › jina-ai-raises-30m-forJina.ai raises $30M for its for its neural search platform
Berlin-based Jina.ai, an open source startup that uses neural search to help its users find information in their unstructured data (including videos and images), today announced that it has, .
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jina.ai › news › jina-ai-launches-worlds-first-openJina AI Launches World's First Open-Source 8K Text Embedding ...
October 25, 2023 – Jina AI, the Berlin-based artificial intelligence company, is thrilled to announce the launch of its second-generation text embedding model: jina-embeddings-v2. .
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github.com › jina-ai › jinaGitHub - jina-ai/jina: ☁️ Build multimodal AI applications ...
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docs.jina.ai › v3 › get-startedWhat is Jina? - Jina 3.8.4 documentation - docs.jina.ai
What is Jina? Jina is the framework for helping you to build cross-modal and multi-modal systems on the cloud. With Jina, developers can easily build high performant cloud native applications, services and systems in production. But at this point, you are not buying those campaign words. .
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