Hybrid RAG Pipelines

That is the pattern where an AI system looks up outside information before it answers. In this episode, Satish uses a simple real-life example first, then turns the idea into a practical technical mental model for engineers and curious builders. In Simple Terms with Satish: daily tech trends explained simply, with enough technical depth for builders. Production note: This episode uses authorized synthetic narration based on Satish's own voice. The topic, script, and final editorial approval are by Satish. Engineer notes: Exact technical references: - OpenAI file search uses both semantic and keyword search. - Azure AI Search hybrid search runs full-text and vector queries in parallel and merges them with Reciprocal Rank Fusion. - Azure query guidance recommends starting with balanced hybrid patterns instead of maxing out every retrieval parameter. - Pinecone documents reranking as a second-stage quality improvement after merged retrieval. - Cohere documents reranking as a semantic boost for keyword or vector retrieval systems. Sources: - https://platform.openai.com/docs/guides/tools-file-search/ - https://learn.microsoft.com/en-us/azure/search/hybrid-search-overview - https://learn.microsoft.com/en-us/azure/search/hybrid-search-how-to-query - https://docs.pinecone.io/guides/search/hybrid-search - https://docs.pinecone.io/guides/search/rerank-results - https://docs.cohere.com/docs/reranking-quickstart