Decompressed Learn
The Embedding
Knowledge Base
Guides, best practices, and deep dives on managing vector data safely at scale. Everything you need to ship retrieval with confidence.
✅ Best PracticesFeatured
Detecting Embedding Drift: The Silent Killer of RAG Accuracy
Your RAG pipeline shipped fine. Then answers started slipping. The problem is upstream, not the LLM. Here's how embedding drift breaks retrieval and what to do about it.
12 min readMar 6, 2026
embedding driftRAGretrieval quality
🔬 Deep DivesFeatured
I Updated My Embedding Model and My RAG Broke: A Post-Mortem
Upgrading from text-embedding-ada-002 to text-embedding-3-small looks simple, until your search results turn to garbage. Here's why embedding model migrations silently break RAG, and how to do them safely.
12 min readMar 9, 2026
rag observabilityembedding modelpost-mortem
🔬 Deep DivesFeatured
Why Your Pinecone Index Keeps Breaking (and the Vector Ops Fix)
You have CI/CD for your frontend, backend, and infrastructure. Why is your AI data still a manual upsert-and-pray process? Introducing Vector Ops: deployments for your vector database.
10 min readMar 10, 2026
vector opspinecone migrationrag observability