Weaviate vs Green Vectors: How They Compare
Weaviate and Green Vectors solve different problems. Weaviate is an open-source vector database known for hybrid search. Green Vectors is a reduction layer that eliminates redundant vectors before they are stored. They are not competitors. Green Vectors, delivered through Kitana, works alongside Weaviate to reduce the vector volume that drives cost and operational load.
Head-to-head comparison
| Dimension | Weaviate | Green Vectors |
|---|---|---|
| Category | Open-source vector database | Vector reduction layer |
| Primary role | Stores and retrieves vectors, hybrid search | Reduces vector count before storage |
| Where it sits in the stack | The database itself | The ingestion layer, before the database |
| Main benefit | Hybrid search, self-hosting option | Lower storage and query cost, cleaner index |
| Relationship | Works with Green Vectors | Works alongside Weaviate via Kitana |
What Weaviate does
Weaviate is an open-source vector database available as managed cloud or self-hosted. It is particularly valued for hybrid search that combines keyword and vector retrieval. It gives teams control over their infrastructure and strong retrieval flexibility.
What Green Vectors does
Green Vectors applies patent-pending semantic transformation at ingestion to eliminate redundant vectors. In benchmarked workloads it reduced vector count by up to 99.5%, with storage falling from 260GB to 1.3GB at 15-million-vector scale, while improving search quality by up to 59%.
How they work together
Green Vectors reduces the number of vectors before they reach Weaviate, lowering storage and compute load while preserving Weaviate's hybrid search. Kitana processes data at ingestion; Weaviate continues to store, index, and retrieve as before, with a much smaller and cleaner index.