Solutions are always tailored to specific problems. There’s no one-size-fits-all approach. The techniques vary depending on needs like the level of customization, available data sources, and system complexity. The strategy should be based on these factors. Here are a few alternative approaches we can consider, if RAG is optional: Embedding-Based Search with Pretrained Models: This is a relatively easy approach to implement, but it doesn’t offer the same capabilities as RAG. It works well when simple retrieval is enough and there’s no need for complex reasoning. – Knowledge Graphs with AI Integration: Best for situations where structured reasoning and relationships…