How does InfraNodus compare to Rag-Fusion?

Rag-Fusion a framework that uses LLM to generate more multiple queries from the original one in order to improve RAG (retrieval-augmented generating) by expanding the context. However, Rag-Fusion does that by using LLM, so the query is extended in a generic way, using the model's general knowledge.

InfraNodus can enrich the original query with the actual context of your AI knowledge base. So it could be used for the same purpose as Rag-Fusion, but its approach is much more precise, because it rephrases those queries in a way that is pertinent to the context you're working with. So the text chunks it retrieves using RAG would be much more domain-specific and provide better results.