I was able to use both latest Phi and Llama models with Ollama and it works very smoothly with LightRAG. For large set of files, I was able to create Knowledge Graph based conditional Filter for LightRAG GraphML files which increased efficiency drastically otherwise hybrid query takes much longer.
Thanks so much for your tutorials and demos. What if the data is related to products and I already process a txt with 200 products. Then next day the price is updated in 5 products. Do I need to process the whole list again? Does the old price will be remembered or it will be replaced from the rag?
Is there an institution that ranks RAG systems? For example I would like to find out if this or multi-modal RAG from your recent video works better? Would you know?