How Alhena AI unified its AI stack and improved ecommerce conversions with Qdrant

Alhena AI transformed its ecommerce operations by migrating to Qdrant Cloud, which unified its vector search infrastructure and improved its AI agents' performance and scalability. Initially, Alhena faced challenges with fragmented vector search systems, including FAISS and Pinecone, which caused complexities and impacted system reliability and customer onboarding. The shift to Qdrant allowed Alhena to consolidate its backend, enabling consistent performance across both small and large indexes, supporting hybrid search, and facilitating metadata filtering without additional infrastructure. This transition improved product recommendations, enhanced conversion rates, and allowed Alhena to deploy AI agents more swiftly and efficiently. Qdrant's capabilities, such as reduced latency and support for dense and sparse embeddings, empowered Alhena to meet internal SLAs and offer rapid, relevant responses to customers. The adoption of Qdrant's multitenancy and global deployment features further streamlined operations and bolstered Alhena's ability to scale while maintaining data residency compliance. Overall, this strategic move not only enhanced technical performance but also unlocked new business opportunities, allowing Alhena to focus on innovation and deliver superior ecommerce experiences.