Automatically infer and manage Qdrant schemas with CocoIndex's declarative dataflow. No manual setup needed.

Vector Search

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CocoIndex introduces automatic schema inference for Qdrant vector databases, eliminating manual collection setup. The tool uses declarative dataflow programming to automatically infer and manage target schemas from flow definitions, supporting incremental processing with a high-performance Rust stack. Developers can now define data transformations in ~100 lines of Python without manually configuring collections, tables, or indexes across multiple storage systems including Postgres, Neo4j, and Kuzu.

This Open Source Tool Could Save Your Data Team Hundreds of Hours

Our Vision: Declarative, Flow-Based Indexing

<p>checkout <a href="https://github.com/cocoindex-io/cocoindex" target="_blank" rel="noopener nofollow">https://github.com/cocoindex-io/cocoindex</a></p>
