Emerging Vector DB Technologies
Stay updated on new developments, alternative vector database solutions, and future directions in the vector database landscape.
What's New in Vector DBs?
The world of vector databases is constantly evolving! New technologies, features, and approaches are emerging at a rapid pace.
In this lesson, we'll explore some of these exciting developments and look at alternative solutions beyond the ones we've already covered.
Why New Vector DBs Emerge
As AI applications grow, so do the demands on vector databases. This drives innovation, leading to new solutions that offer:
- Improved Performance: Faster searches, higher throughput.
- Specialized Features: Better filtering, real-time updates, multi-modal support.
- Developer Experience: Easier setup, simpler APIs.
- Deployment Flexibility: Serverless, edge, or embedded options.
All lessons in this course
- Hybrid Search: Vector + Keyword
- Multi-Modal Embeddings
- Emerging Vector DB Technologies
- Agentic Retrieval & Memory