Features: Open-source, GPU support, integrates with ML frameworks like PyTorch and TensorFlow.
Pros: High performance, strong community support.
Cons: Requires more setup and maintenance.
Use Cases: Similarity search, image/video analysis, NLP.
- Weaviate
Features: Open-source, supports both vectors and data objects, GraphQL-based API.
Pros: Highly scalable, flexible data management.
Cons: Performance can vary based on configuration.
Use Cases: Semantic search, cybersecurity threat analysis, recommendation engines.
- Qdrant