Tag: #vector-db
Writing on GPUs, LLMs, MLOps, Kubernetes — and mindset · 3 posts
Korean Dev Blog Curation 3 — AI and ML in Practice, 14 Posts I Opened and Checked
Fourteen Korean-language posts on applying AI and ML in production, selected for being concrete and reproducible. They cover an end-to-end LangChain RAG pipeline, how semantic search actually works through embeddings and
2026-08-12 · 12 min read #curation#큐레이션#ai#llm#ragFeature Store and the Vector·Graph·Time-Series DB Convergence Guide: Feast·Tecton·Pinecone·Weaviate·Milvus·Neo4j·TimescaleDB (2025)
Season 5 Ep 6. The language of ML is features, the language of AI is vectors, the language of relationships is graphs, and the language of operations is time series. In 2025 every one of these DB categories crosses its o
2026-04-15 · 12 min read #feature-store#vector-db#graph-db#timeseries-db#feastDatabase Complete Guide — Internals, Indexes, Query Planner, Partitioning, Vector DB (Season 2 Ep 13, 2025)
Treat a database as nothing but "the place where SQL goes" and you stay junior forever. The internals of B-Tree, LSM-Tree, and Hash Index; how the query planner turns a query into an execution plan; the four transaction
2026-04-15 · 14 min read #database#postgresql#b-tree#lsm-tree#indexing