Build & Host multi-modal cloud search
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Updated
Nov 9, 2022 - Python
Build & Host multi-modal cloud search
(Mis)use cutting edge neural search to find your celebrity lookalike!
🔮 Jina is an open-source framework for building neural search systems. It provides a flexible and efficient way to build search engines, recommendation systems, and other AI-powered applications that require real-time search and retrieval capabilities.
A search app to look for relevant offers. User can search with Keyword based search and Semantic based search methods.
Jina's TransformerTorchExecutor, with CUDA 11.3 and ARM support.
Load and serve Neural Encoder Models
GH Action for automatically testing/building the modules in your own Hub repo
A Neural Search Tool that helps you find relevant papers to read based on your interests
Easy build your personal search engine with Aquila Network
Shortest viable Jina program that actually does something useful
A Movie recommender website based on neural search built using jina
Chatbot using Jina, Jina Hub and DocArray with Streamlit frontend
Python client library to access Aquila Network Neural Search Engine
A simple front-end for Jina neural search framework, written in Streamlit, that supports querying with image, text, or drawing on a canvas.
Doraemon Himitsu Dogu Japanese hybrid search based on Elascticsearch ANN x multi match
An integration of the weaviate vector search engine with txtai
Tree-based indexes for neural-search
Official Python SDK for Kern AI refinery.
Deploy Cherche using FastAPI and Docker
Article on Marqo + GPT3 for news summarisation
Add a description, image, and links to the neural-search topic page so that developers can more easily learn about it.
To associate your repository with the neural-search topic, visit your repo's landing page and select "manage topics."