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VectorLens Blog
Guides, release notes, and deep dives on working with vector databases and embeddings.
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Data Science
Machine Learning
Vector Database
UMAP vs PCA for Embedding Visualization — and When Each One Lies to You
PCA invents false overlap. UMAP invents false geography. What each projection actually preserves, which parameters rewrite the story, and how to tell a real cluster from a layout artifact.
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AI Engineering
Machine Learning
ChromaDB vs Qdrant vs Weaviate vs Milvus: Field Notes from Building a Client for All Four
Four vector databases, one client - and almost nothing about the metric is portable between them. "Euclidean" is l2 in ChromaDB and...
Jul 22, 2026
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AI Engineering
Data Science
Your RAG Pipeline Isn't Broken - Your Vector Store Is
Many RAG systems produce poor results not because of the LLM or vector search, but because of hidden problems in the embedding...
Jul 17, 2026
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