QdrantAI
MediumCapability
Qdrant introduces advanced Vector Search and Embedding Features
AI Impact Summary
Qdrant has significantly enhanced its vector search capabilities with distributed deployment, multitenancy, and support for advanced embedding techniques like miniCOIL and SPLADE. These improvements will allow users to scale their vector search applications, improve performance, and leverage a wider range of embedding models. This represents a key investment in Qdrant's platform and expands its utility for diverse use cases.
Qdrant introduces advanced Vector Search and Embedding Features
Affected Systems
Qdrant
Business Impact
Qdrant's enhanced vector search capabilities will enable users to build more scalable and performant applications leveraging vector embeddings.
- Date
- Date not specified
- Change type
- capability
- Severity
- medium