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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
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.
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
Easy-to-use and powerful LLM and SLM library with awesome model zoo.
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.
SGPT: GPT Sentence Embeddings for Semantic Search
Epsilla is a high performance Vector Database Management System
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.
