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This thread discusses best practices for building unified memory layers with knowledge graphs, emphasizing the separation of entity resolution (naming) from deduplication (identity) to avoid graph corruption. It also highlights using orchestration tools like PrefectIO to manage expensive LLM extraction pipelines with checkpointing and caching.
Hugging Face announces Storage Buckets, a storage solution for large, evolving training datasets with built-in CDN and deduplication, recommended by CommonCrawl.
Velonus is an open-source AppSec scanner for Python that runs five security tools in one command, normalizes findings, and deduplicates noise, with support for SARIF output and CI integration.