Your data changes and your multi-hop RAG goes stale? This one updates with embed-and-append -> open-weights Llama-3.3-70B, your own vLLM endpoint, no graph rebuild

This post discusses a solution for keeping multi-hop retrieval-augmented generation (RAG) systems updated when data changes, using an embed-and-append approach with the open-weights Llama-3.3-70B model and a custom vLLM endpoint without requiring a graph rebuild. The discussion likely covers practical implementation strategies for maintaining fresh context in complex RAG pipelines while avoiding expensive reprocessing of knowledge graphs.

Source: r/ollama | 2026-06-21