5 posts
The embedding model choice determines the fate of Turkish RAG quality. Multilingual vs Turkish-specific, dimension and performance, reading benchmarks, and building your own evaluation.
What is hybrid search? A method that combines semantic (vector) search with BM25 keyword search, fusing scores to raise retrieval quality and hit rate in RAG systems.
Vector database comparison: we evaluate Qdrant, Milvus, Weaviate, and pgvector for enterprise RAG in terms of scale, performance, cost, data sovereignty, and benchmarking.
What is semantic search? Semantic search is a retrieval method that, instead of matching a query word by word, compares the meaning of the query and documents using embedding vectors to return the most relevant results. This guide: a clear definition, the difference from keyword search, how it works, semantic similarity, hybrid search, examples, and FAQs.
What is embedding? An embedding turns a text into a vector representing its meaning. Semantic search, Turkish embedding models, vectors, similarity and vector databases in this guide.