beginnerAdvisors

Why would you chain multiple advisors together instead of putting all that logic in one place?

Each advisor handles one concern (e.g. one for memory, one for RAG retrieval, one for logging) so they can be composed and reordered per use case, and a new cross-cutting concern can be added as its own advisor without touching the existing ones — the same single-responsibility reasoning that applies to servlet filters or middleware chains.

Ready to master this question?

Generate a complete walkthrough — background, the full answer in plain language, a working code example explained line by line, a real-world scenario, common mistakes, and how this same question gets asked in different ways.

Sign in to generate a response

Next Step

Continue to Why doesn't an LLM 'remember' previous messages in a conversation on its own?← Back to all Spring AI questions