Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

☁️ 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.

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

Represent, send, store and search multimodal data

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

MTEB: Massive Text Embedding Benchmark

🎯 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.

Epsilla is a high performance Vector Database Management System

SGPT: GPT Sentence Embeddings for Semantic Search

PostgreSQL vector database extension for building AI applications

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

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

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

Neural Search

Neural Search