From Docs to Dialogue: Building a Production-Ready AI Assistant with Spring Boot and Milvus

This post details the practical implementation of a RAG-based AI assistant using Spring Boot and Milvus. It covers document ingestion pipeline using TikaDocReader and text splitting, generating embeddings with Ollama's Nomic Embed Text model, and storing them in Milvus. It demonstrates integrating Milvus for semantic search within a Spring AI RAG pipeline, including conversation context management using Redis and streaming responses via SSE. The post also provides examples for securing the API with Spring Security (RBAC) and implementing full-stack observability using OpenTelemetry JavaAgent for tracing and Micrometer for Prometheus metrics, specifically highlighting the need for the JavaAgent due to Milvus's gRPC usage.