☁️ Build multimodal AI applications with cloud-native stack
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Updated
Dec 20, 2024 - Python
☁️ Build multimodal AI applications with cloud-native stack
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.
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
A pure Python-implemented, lightweight, server-optional, multi-end compatible, vector database deployable locally or remotely.
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.
V3CTRON | Vector Embeddings Data Retrieval | ChatGPT Plugin
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