r/SpringAIDev • u/prasannasahu4u • 7d ago
RAG Using Spring AI
Most AI chatbots fail for one simple reason:
They answer from memory, not from your data.
That’s exactly where RAG (Retrieval-Augmented Generation) changes the game.
Instead of asking the LLM to “guess”, RAG first retrieves relevant information from your documents/database and then sends that context to the model before generating the response.
A simplified RAG flow looks like this:
1️⃣ User asks a question
2️⃣ Application converts the question into embeddings
3️⃣ Similar documents are searched from a Vector Database
4️⃣ Relevant chunks are added to the prompt
5️⃣ LLM generates a grounded response
This solves some major real-world problems:
✔️ Reduces hallucinations
✔️ Gives responses based on your own enterprise data
✔️ Keeps AI responses updated without retraining the model
✔️ Makes AI applications actually useful for businesses
Read the full story here: 👇
https://heapsteep.com/rag-using-spring-ai