AI RAG Patterns 2026
RAG Patterns 2026 Architecture 1. Document → chunks 2. Chunks → embeddings → vector DB 3. Query → embed → similarity search 4. Retrieved chunks + query → LLM 5. LLM generates response Tools - LangChain - LlamaIndex - Haystack - Custom Python Tips - Hybrid search BM25 + vector - Reranking Cohere Rerank - Citations always - Eval rigorously Next Step Vector DBshttps://vibecodingturkey.com/en/rehberl…