Answer up front: A RAG pipeline architecture is a set of connected services that ingest raw documents, turn them into embeddings, store them in a vector database, retrieve the most relevant chunks, and finally feed those chunks to a language model for generation. In practice you need a modular d...
Source: [Dev.to](https://dev.to/ayush_kumar_085a0f2c54e3f/building-a-robust-rag-pipeline-architecture-for-production-3j25)