X @Avi Chawla

RT Avi Chawla (@_avichawla)8 RAG architectures for AI Engineers:(explained with usage)1) Naive RAG- Retrieves documents purely based on vector similarity between the query embedding and stored embeddings.- Works best for simple, fact-based queries where direct semantic matching suffices.2) Multimodal RAG- Handles multiple data types (text, images, audio, etc.) by embedding and retrieving across modalities.- Ideal for cross-modal retrieval tasks like answering a text query with both text and image context.3) ...