MichaelGruschke opened a new issue, #38141: URL: https://github.com/apache/beam/issues/38141
### What would you like to happen? **Problem:** Apache Beam currently lacks built-in support for writing embeddings to Qdrant, a popular vector database used in RAG pipelines. Users must implement custom integrations to use Qdrant with Beam. **Solution:** Add VectorDatabaseWriteConfig implementation for Qdrant, enabling seamless embedding ingestion to Qdrant collections using the already provided RAG abstractions. ### Issue Priority Priority: 2 (default / most feature requests should be filed as P2) ### Issue Components - [x] Component: Python SDK - [ ] Component: Java SDK - [ ] Component: Go SDK - [ ] Component: Typescript SDK - [ ] Component: IO connector - [ ] Component: Beam YAML - [ ] Component: Beam examples - [ ] Component: Beam playground - [ ] Component: Beam katas - [ ] Component: Website - [ ] Component: Infrastructure - [ ] Component: Spark Runner - [ ] Component: Flink Runner - [ ] Component: Samza Runner - [ ] Component: Twister2 Runner - [ ] Component: Hazelcast Jet Runner - [ ] Component: Google Cloud Dataflow Runner -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
