✔RAG pipeline: Spring AI's VectorStore abstraction over Pinecone, pgvector, or Weaviate - every prompt grounded in your actual data.
✔Multi-provider LLM integration: unified ChatClient API for OpenAI GPT-4o, Anthropic Claude, Azure OpenAI, and self-hosted Ollama.
✔Tool-calling agents: your existing Spring @Bean methods become AI tools the LLM can call with arguments.
✔Chat memory: conversation state maintained in-memory, Redis, or database-backed for enterprise scale.
✔Prompt guardrails: structured templates and content filtering to prevent prompt injection and jailbreaks.
✔Secure AI data handling: ISO 27001-compliant logging and PII scrubbing before any external transmission.