Knowledge Graphs: The Missing Piece in Most RAG Systems

If you've been exploring AI agents recently, chances are you've come across RAG (Retrieval-Augmented Generation). A typical RAG system looks something like this: Documents ↓ Chunking ↓ Embeddings ↓ Vector Database ↓ Similarity Search ↓ LLM This architecture has become the foundation for many AI assistants, chatbots, and knowledge-based agents. And for good reason. It works surprisingly well. But as agents become more capable, many developers eventually run into t...