neural-search

Build cross-modal and multimodal applications on the cloud · Neural Search · Creative AI · Cloud Native

Embed images and sentences into fixed-length vectors with CLIP

🔍 Haystack is an open source NLP framework that leverages pre-trained Transformer models. It enables developers to quickly implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications.

Easy-to-use and powerful NLP library with Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including Neural Search, Question Answering, Information Extraction and Sentiment Analysis end-to-end system.

Weaviate is a cloud-native, modular, real-time vector search engine

💡 Build AI-powered semantic search applications

A Human-in-the-Loop workflow for creating HD images from text

Qdrant - Vector Search Engine for the next generation of AI applications

The open-source data-centric IDE for NLP. Combining programmatic labeling, extensive data management and neural search capabilities.

The data structure for unstructured multimodal data

Task-oriented finetuning for better embeddings on neural search

Jina examples and demos to help you get started

An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.

Elasticsearch plugin and Lucene library for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.

A lightweight, customizable omnibox in Javascript, for use with a Jina backend.

📑 Neural Search

Interactive UI for analyzing Jina logs, designing Flows and viewing Hub images

One line to host them all. Bootstrap your image search case in minutes.

An open-registry for hosting Jina executors via container images

A fast embedded library for approximate nearest neighbor search