How Garden Scaled Patent Intelligence with Qdrant - Qdrant

This post details how Garden, a patent intelligence startup, successfully scaled their platform by migrating to Qdrant Cloud. Key technical contributions include: - **Scalability:** Handling hundreds of millions of vectors and terabytes of patent data, a significant increase from previous solutions. - **Performance:** Achieving sub-100ms p95 query latency, meeting strict product requirements. - **Cost Efficiency:** Reducing cost per stored GB by approximately 10x compared to previous managed services. - **Migration Strategy:** A weekend migration from Google Cloud Storage to Qdrant Cloud with minimal code changes due to API mirroring of open-source conventions. - **Technical Features Leveraged:** Scalar quantization (8-bit) for balancing RAM and disk usage, and the core filterable HNSW capability which was a key differentiator for Garden's use case of complex metadata filtering on patent data.