Weaviate
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.
About
Weaviate is an open-source, cloud-native vector database that stores both objects and vectors, enabling semantic search at scale. It combines vector similarity search with keyword filtering, retrieval-augmented generation (RAG), and reranking in a single query interface. Common use cases include RAG systems, semantic and image search, recommendation engines, chatbots, and content classification.
Open Source Health
- Stars
- 16,802
- Forks
- 1,399
- License
- Not stated
- Last commit
- 26 days ago
Related Categories
Vendor
Weaviate
Quick Links
Open Source
Related Products
Giga Models
GigaModels: A Comprehensive Repository and Platform for Multi-modal, Generative, and Perceptual Models
Top category match
OSMO
The developer-first platform for scaling complex Physical AI workloads across heterogeneous compute—unifying training GPUs, simulation clusters, and edge devices in a simple YAML
Top category match
Trackio
A lightweight, local-first, and free experiment tracking library built on top of Hugging Face Datasets and Spaces.
Top category match
Pyre Code
A self-hosted ML coding practice platform. 68 problems from ReLU to flow matching — attention, training, RLHF, diffusion, and more. Instant feedback in the browser.
Top category match
MLOpsPython
MLOps using Azure ML Services and Azure DevOps
Top category match