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