Milvus Project Roadmap and Time Schedule

Time

Note

2.3.0

2023.8.23

Stable

2.4

2024.2.08

Under development

3.0

2024.4.30

Under

Design

Welcome to the Milvus Roadmap! Our journey is an ongoing adventure in improving and evolving Milvus, and we're excited to share with you our achievements, our upcoming plans, and our vision for the future. This roadmap is not just a list of features; it's a reflection of our commitment to innovation and community collaboration. We invite you to explore, provide feedback, and join us in shaping Milvus' future!

Roadmap

Category	Milvus 2.3.x (Achieved in recent releases)	Milvus 2.4.0(End of CY23 release)	Roadmap(3.0)
Scalability and Performance World-class scalability and performance	Growing Index Index for streaming-in data ScaNN Index 20% faster than HNSW	Bulk Insert Optimazation Easier import for larger data Scalar Fields Index Indexing for specific scalar fields Holds More Collections/Partitions Support 10000+ collections in small size cluster	Inverted Index for JSON GPU Acceleration Full test for 10 billion+ vectors
Ease of Use Provide flexible usabilities and maintainance	Cluster Rolling Update Update affected window <30s Delete by Expression Easy to delete useless data Upsert Update embeddings for ambiguous scenarios	Support More Datatypes Datetime and various vector types(fp16, bf16)	Add/Delete Collection Fields Support SQL Syntax Upgrade SDK
Enterprise Offering Features for production-ready	RBAC Role based access control Partition Key Performance enhancement for large datasets	Accesslog Enhancement Detailed info recorded for audit and tracing Compaction Optimization Improve system stability	CDC for Online/Cross-Cloud Migration
AI-augment Capability Designed features for AI applications	Dynamic Schema Provide flexibility by schema-free	Group By for Grouping Requests Aggregate split embeddings for one set Multi-Vectors(beta) Multiplex recall and reranking framework Sparse Vector(beta) Local feature extraction or keyword search	Scenario-oriented Vector Search Patterns Spark Connector for large scale data processing Multi-Vectors GA Sparse Vector GA

Notes:

Our roadmap is dynamic and adapts based on new learnings and community feedback.
Community engagement is highly encouraged. To provide feedback or raise issues, visit Milvus GitHub.
Detailed information on recent releases, please refer to release notes.

How to Contribute

As an open-source project, Milvus thrives on community contributions. Here's how you can be a part of our journey.

Share Feedback

Issue Reporting: Encounter a bug or have a suggestion? Open an issue on our GitHub page.
Feature Suggestions: Have ideas for new features or improvements? We'd love to hear them!

Code Contributions

Pull Requests: Contribute directly to our codebase. Whether it's fixing bugs, adding features, or improving documentation, your contributions are welcome.
Development Guide: Check our Contributor's Guide for guidelines on code contributions.

Spread the Word

Social Sharing: Love Milvus? Share your use cases and experiences on social media and tech blogs.
Star Us on GitHub: Show your support by starring our GitHub repository.

Browser not supported