Testing Korean RAG Embeddings with sentence-transformers
I ran all-MiniLM-L6-v2 locally to compare multilingual embeddings on Korean RAG. English-tuned models dropped accuracy by 67%, with real logs and the fix.
Tags
RAG
6 posts
LlamaIndex vs LangChain vs Haystack — RAG Framework Comparison 2026
LlamaIndex 0.14, LangChain 1.3, and Haystack 2.30 tested side by side: code complexity, the langchain-community sunset warning, and a clear decision guide.
Vector DB Comparison 2026: Qdrant vs ChromaDB vs pgvector Guide
Benchmarked Qdrant, ChromaDB, and pgvector on 1,000 vectors (dim=384): insert speed, query latency, and filter performance, with a decision guide for RAG.
Gemini Embedding 2 — How Multimodal Embeddings Change RAG
Google's first native multimodal embedding model: what shifts from text-only embeddings, how retrieval changes, and how to use it in a production RAG pipeline.
DeNA LLM Study Part 4: RAG Architecture and Latest Trends
RAG that lives or dies on retrieval: hybrid search, reranking, and the jump to GraphRAG and Agentic RAG, with production adoption criteria and 2025-2026 trends.
Build a RAG System in 5 Minutes with Google Gemini File Search
A practical guide to building document search and Q&A systems using Gemini File Search Tool announced in November 2025, without complex RAG pipelines. Dramatically reduce development time with fully-managed RAG.