Weaviate
vector databasesFree
Weaviate is an open-source vector database designed for storing data objects and vector embeddings from machine learning models.
It supports use cases such as vector similarity searches, keyword-based searches, and integrating generative models for enhanced search capabilities.
Weaviate is available for free, making it accessible for developers and researchers looking to manage large datasets and improve search functionality.
Key features
- ✅ Stores vector embeddings
- ✅ Scales to billions objects
- ✅ Lightning
- ✅ fast vector similarity search
- ✅ Supports keyword
- ✅ based search
- ✅ Supports vector search
- ✅ Allows any generative model
- ✅ Wide neural search integrations
- ✅ Supports vectorization
- ✅ Zero to production design
- ✅ Community and open
- ✅ source focus
- ✅ Backup and restore capabilities
- ✅ Variety of learning resources
Tags: vector, database, LLM, machine learning