
Developed the Apache Doris 4.1 vector database backend integration for RetrieveEngine in the Tencent/WeKnora repository, enabling parity with other vector stores such as Qdrant and Milvus. Focused on backend development using Go, the work included implementing MySQL protocol support for DDL and queries, upsert operations via Stream Load, and asynchronous indexing. Enhanced deployment reliability by adding Docker Compose templates, environment variable support, and health checks. Integrated Doris-specific configuration for multi-instance setups and ensured robust quality through comprehensive unit testing and documentation. This integration allows RetrieveEngine to leverage Doris as a scalable, production-ready vector backend for improved retrieval performance.
In May 2026, delivered the Apache Doris 4.1 vector DB backend integration for RetrieveEngine in Tencent/WeKnora, aligning parity with Qdrant/Milvus/Weaviate. Implemented MySQL protocol support for DDL/queries, upsert via Stream Load, and asynchronous indexing. Added Doris-specific integration files, environment variable support, health checks, multi-instance config, and Docker Compose templates, plus comprehensive tests and documentation to ensure reliable, production-ready deployment.
In May 2026, delivered the Apache Doris 4.1 vector DB backend integration for RetrieveEngine in Tencent/WeKnora, aligning parity with Qdrant/Milvus/Weaviate. Implemented MySQL protocol support for DDL/queries, upsert via Stream Load, and asynchronous indexing. Added Doris-specific integration files, environment variable support, health checks, multi-instance config, and Docker Compose templates, plus comprehensive tests and documentation to ensure reliable, production-ready deployment.

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