To use Jina AI, you can either use its pre-built Docker images or install it locally. You can then define your search pipeline, which involves specifying the steps for indexing, querying, and ranking data. Jina AI provides building blocks like executors that can be chained together to create a custom search pipeline. Once the pipeline is defined, you can index your data and start querying it using the provided APIs.
Jina AI
Jina AI is an open-source cloud-native neural search platform for building powerful search experiences. It provides a set of tools and APIs for indexing, querying, and ranking data using deep learning models.
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Added on: Jun 7, 2024
- Neural Search
- Open Source
- Cloud Native
- Deep Learning
Jina AI Introduction
What is Jina AI?
Jina AI is an open-source, cloud-native neural search platform that allows developers to build powerful search experiences using deep learning models. It leverages vector databases and offers a range of APIs for indexing, querying, and ranking data. Jina AI is designed to handle large datasets and complex queries, making it suitable for various applications like e-commerce, image search, and document retrieval.
How to use Jina AI?
Jina AI Features
Open Source
Jina AI is an open-source project, allowing developers to access and contribute to its codebase.
Cloud Native
Jina AI is designed for cloud-native deployments, making it easy to scale and manage in cloud environments.
Neural Search
Jina AI utilizes deep learning models for building powerful search experiences that go beyond traditional keyword-based search.
Vector Database
Jina AI leverages vector databases to efficiently store and search data based on similarity rather than exact matches.
API-Driven
Jina AI provides a set of APIs for indexing, querying, and ranking data, allowing developers to integrate it into various applications.