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HAI — Himanshu AI's avatar

@ByteByteGo One of the clearest comparisons I've seen. This will help many engineers understand where each approach fits.

Gal Dayan: The Agent Whisperer's avatar

The jump from RAG to Agentic RAG is bigger than the diagram makes it look. Plain RAG and Graph RAG change what the model knows before it answers. Agentic RAG, the moment it has tool selection and MCP servers in the loop, changes what the model can do, not just what it retrieves. That is a different risk surface. A bad retrieval gives you a wrong answer you can read and reject. A bad tool call acts before you see it. Once retrieval can trigger actions, the hard part stops being relevance and starts being what the agent is allowed to do with what it found.

Cezary Kujawa's avatar

RAG does not require a vector database. The core requirement is a retrieval step that fetches relevant context before generation, and that retrieval can be done with web search, keyword/BM25 search, SQL, or even files

Suman Suhag's avatar

From hypersonic strike capabilities to advanced manufacturing and autonomous systems, one message is clear:

The future of warfare is being built now.

These engagements underscore a critical reality no single institution can keep pace with the speed of modern threats alone. The battlefield is evolving faster than ever, driven by breakthrough technologies and global competition.

To stay ahead, strong and agile partnerships between the Army and industry are no longer optional. they are essential.

Innovation must move at the speed of conflict.

Capabilities must reach Soldiers faster than ever before.

And collaboration must replace silos.

This is how we ensure our forces are not just prepared for tomorrow. but dominant in it.