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Embeddings

2 posts tagged #embeddings

Woman typing code on a laptop computer AI and Machine Learning

How to Evaluate EmbeddingGemma 2 for Multilingual RAG

EmbeddingGemma 2 is shiny. Shipping it into a multilingual RAG stack without regressions is not. Here’s an embeddings-only eval + rollout playbook that works.

October 7, 2026 8 min read
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pgvector vs Pinecone 2026: Which Vector DB Should You Actually Use? AI and Machine Learning

pgvector vs Pinecone 2026: Which Vector DB Should You Use?

pgvector wins for teams already on Postgres who want simplicity and cost control; Pinecone wins for production AI apps that need managed, millisecond-scale vector search at massive scale. Your infrastructure context is the deciding factor.

May 10, 2026 12 min read
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Keep exploring

Close to this topic, not on this page.

  • Weaviate vs Chroma in 2026: RAG Database Pick I'd pick Weaviate for any production RAG system serving more than a handful of users, and Chroma for rapid local prototyping where… 13 min read
  • Milvus vs Qdrant: Which Vector DB for Production RAG? Qdrant wins for lean, fast RAG deployments where simplicity and filtering speed matter most; Milvus wins for large-scale enterprise… 11 min read
  • Qdrant vs Chroma (ChromaDB): Choosing a Vector DB for RAG Qdrant wins for production RAG at scale; Chroma wins for local prototyping and developer speed. 12 min read

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KG

Building intelligent systems. Still chasing those sour icecreams.

Made with coffee and curiosity in Toronto. 2026.