☁️ Build multimodal AI applications with cloud-native stack
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Updated
Mar 24, 2025 - Python
☁️ Build multimodal AI applications with cloud-native stack
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
MTEB: State-of-the-art evaluation of embeddings across languages and modalities
Represent, send, store and search multimodal data
🌊 A Human-in-the-Loop workflow for creating HD images from text
🎯 Task-oriented embedding tuning for BERT, CLIP, etc.
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
The prime repository for state-of-the-art Multilingual Question Answering research and development.
A Python vector database you just need - no more, no less.
Jina examples and demos to help you get started
Neural Search
Neural Search
⚡ A fast embedded library for approximate nearest neighbor search
An Open-Source Package for Information Retrieval
An open-registry for hosting Jina executors via container images
Input text or image, get back matching image fashion results, using Jina, DocArray, and CLIP
Tree-based indexes for neural-search
Meme search engine built with Jina neural search framework. Search with captions or image files to find matching memes.
App store search example, using Jina as backend and Streamlit as frontend
To associate your repository with the neural-search topic, visit your repo's landing page and select "manage topics."