neural-search

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​.

Easy-to-use and powerful LLM and SLM library with awesome model zoo.

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

Represent, send, store and search multimodal data

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

SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.

:dart: 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

A Python vector database you just need - no more, no less.

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

Neural Search

Official Weaviate TypeScript Client

Kubernetes operator for Qdrant

Embedded-first vector database that grows into a self-hosted service and lightweight cluster.