A hands-on tutorial project that combines GIS data, vector embeddings, and semantic search to build an interactive map where you can find places by meaning — not just keywords. Example: Searching ...
What RAG is and how it contributes to AI applications How vector embeddings capture semantic meaning How to build and query vector databases How to integrate ...
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