neural-search

🔮 Build multimodal AI services via cloud native technologies

🏄 Embed/reason/rank images and sentences with CLIP models

Qdrant - Vector Database for the next generation of AI applications. Also available in the cloud https://cloud.qdrant.io/

👑 Easy-to-use and powerful NLP 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 and 🖼 Diffusion AIGC system etc.

Weaviate is an open source vector database that stores both objects and vectors, allowing for combining vector search with structured filtering with the fault-tolerance and scalability of a cloud-native database, all accessible through GraphQL, REST, and various language clients.

💡 Semantic search and workflows powered by language models

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

🧬 Represent, send, and store multimodal data · Neural Search · Vector Search · Document Store

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

🎯 Task-oriented finetuning for better embeddings on neural search

The prime repository for state-of-the-art Multilingual Question Answering research and development.

SGPT: GPT Sentence Embeddings for Semantic 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 for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.

MTEB: Massive Text Embedding Benchmark

📑 Neural Search

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

⚡ A fast embedded library for approximate nearest neighbor search

Main NNext Application Code