What are the biggest challenges in multi-agent system development?

I think one of the biggest issues is that chunking + embeddings break the original document structure. RAG can retrieve relevant slices pretty well, but it often misses the overall context and relationships between parts of the data. Feels like semantic similarity alone is not enough for complex reasoning. Curious what direction people think makes more sense: * graph-structured documents? * compressed representations? * late chunking https://medium.com/accredian/traditional-vs-late-chunking-ed1a70022ff4 Or something else entirely?