2026-04 monthly summary for hypermodeinc/dgraph focusing on the vector index backup manifest bug fix. In April, delivered a critical fix ensuring manifest correctness for vector indexes during backups, preventing duplicate predicates and overwriting of supporting entries; improved data integrity and reliability of backups and downstream restore processes.

February 2026: Delivered HNSW vector index support for Dgraph's bulk loader, enabling automatic index construction for vector predicates during bulk ingestion. Implemented a shared temporary database for vector data, reducer changes to support vector indexing, and a vector indexer to manage HNSW indexing during the reduce phase. This work lays the foundation for scalable vector data ingestion and faster vector-based queries.

January 2026 focused on stabilizing and improving the reliability of the Dgraph import workflow in hypermodeinc/dgraph. By re-enabling previously skipped tests, we significantly increased test coverage, reduced flakiness, and hardened error handling to catch and surface import issues earlier in CI and during production data imports. These changes lower operational risk, speed up diagnosis, and provide clearer signals for quality gates.

Concise monthly performance summary for December 2025 focused on reliability and robustness of the import workflow in hypermodeinc/dgraph. Highlights include targeted bug fix for import sanity checks and enhanced error handling, contributing to higher throughput and lower runtime failures in data ingestion.