RAG has evolved from simple vector search to AI agents that decide how to retrieve…
This is a dev post classified by AGK Intelligence as Databases (a tutorial), kept by the Dev Radar because it carries real work, not commentary.
RAG has evolved from simple vector search to AI agents that decide how to retrieve information. 📌 Here's how it happened: Naive RAG (2020) Embed the question. Retrieve relevant chunks using vector search. Pass them to the LLM. Generate an answer. Advanced RAG (2023) Rewrite queries for better retrieval. Combine vector and keyword search. Rerank results. Send only the most relevant chunks to the LLM. GraphRAG (2024) Connect documents through entities and relationships. Build knowledge graphs. Retrieve context based on connected information. Answer questions involving relationships across
Posted by SCR (8.5k followers) 1 h ago · 8 likes · 303 views · view the original post on X. Kept by the Dev Radar as Databases.
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