OpenData Vector Introduces Free Vector Search for Object Storage
open-source vector-db
| Source: HN | Original article
MIT-licensed OpenData Vector enables vector search on object storage. It serves 100M vectors.
MIT-licensed OpenData Vector has launched, offering vector search on object storage. This stateless vector search engine, built on SlateDB, can serve 100 million vectors for approximately $350 per month. As we reported on May 15, vector databases are a key component of the AI stack for 2026, and OpenData Vector's MIT license makes it an attractive option for developers.
The launch of OpenData Vector matters because it provides a cost-effective and scalable solution for vector search, which is crucial for applications such as semantic search and machine learning. By running on object storage, OpenData Vector can be deployed anywhere, making it a versatile tool for developers.
As the AI landscape continues to evolve, it will be interesting to watch how OpenData Vector is adopted and integrated into existing AI stacks. With its focus on scalability and affordability, OpenData Vector has the potential to democratize access to vector search and drive innovation in the field. Developers can get started with OpenData Vector through its quickstart guide, which provides a hands-on introduction to the vector database.
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