Qdrant Integration in the Unstructured Platform
Blog post from Unstructured
Building production-ready Retrieval-Augmented Generation (RAG) systems involves complex tasks, with one of the main challenges being the preparation of diverse unstructured data for vector storage. The Unstructured Platform addresses these challenges by offering standardized data transformation and a wide range of connectors, now including a recent integration with Qdrant, an AI-native vector database optimized for fast similarity searches. This integration allows data teams to efficiently process and upload data into Qdrant Cloud clusters, maintaining metadata and ensuring enterprise-grade security through encryption and API authentication. Users can configure the Qdrant connector via the Unstructured Platform's user interface or API, enabling customizable batch processing and embedding generation. Existing users can access the Qdrant connector immediately, while new users are invited to sign up for the platform, with expert consultations available for tailored implementations.