# Jina

> AI-native search framework that provides end-to-end neural search pipeline orchestration, supporting embedding models, vector indexing, and semantic search, with DocArray for data representation.

- **URL:** https://jina.ai/
- **Category:** LLM Frameworks
- **Tags:** neural-search, docarray, orchestration, Ai Native
- **Updated:** 2026-04-04 23:01
- **Canonical page:** https://vectordb.ever.works/items/jina

## Details

## Overview

Jina is an AI-native search framework that provides end-to-end neural search pipeline orchestration. It supports embedding models, vector indexing, and semantic search, using DocArray for multi-modal data representation.

## Features

- End-to-end neural search pipeline orchestration
- Support for embedding models and vector indexing
- Semantic search capabilities
- DocArray integration for data representation
- Cloud-native architecture for scalable deployments
- Multimodal and multilingual embeddings
- Reranker for maximizing search relevancy
- Reader tool for converting URLs to Markdown
- DeepSearch: search, read, and reasoning until the best answer is found
- Classifier supporting zero-shot and few-shot classification
- Segmenter for chunking and tokenizing long texts

## Pricing

Free and open-source. No pricing information is provided for the core framework.

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