Retrieval cannot repair missing structure
A RAG application is often described as embeddings plus a chat interface. In practice, the harder work usually happens earlier: collecting sources, normalizing records, handling duplicates, tracking freshness, and preserving the context needed to explain an answer.
From national food data to useful search
Our Pakistan Food Intelligence work treats restaurants, menus, locations, reviews, and ordering links as connected data rather than isolated pages. That creates a foundation for search, ranking, radius filtering, recommendation flows, and a food assistant that can ground its responses in structured records.
Design for change
Data products need update paths as much as query paths. Freshness, enrichment, deduplication, and connector health should be visible parts of the system so retrieval quality can improve without guessing where the problem began.