CocoIndex now supports Qdrant natively with high performance Rust stack for incremental processing and data freshness.The latest change automates target schema setup with Qdrant from CocoIndex indexing flow, removing the need for manual schema setup.Developers no longer have to manually create collections before indexing, as it is now handled automatically.The dataflow programming model allows users to define a flow where every step has output data type information.Inferred schema setup simplifies operations between indexing and target stores with native integration for Postgres, Neo4j, and Kuzu.CocoIndex simplifies setup with commands like cocoindex setup and cocoindex update for running indexing pipelines.Automatic target schema inference eliminates the manual effort of setting up and updating target schemas, ensuring data consistency.Keeping indexing logic and storage setup in sync can now be streamlined with automatic schema updates in CocoIndex.Continuous changes in data systems, like new fields or transformations, emphasize the need for resilient infrastructure.CocoIndex aims for declarative, flow-based indexing to enable developers to focus on data and logic rather than infrastructure.