Rag

The seven-node Flowise pipeline for the Ornativa jewellery chatbot: PDF loader, recursive text splitter, OpenAI embeddings, in-memory vector store, conversational retrieval-QA chain, buffer memory, and ChatOpenAI.

Building a RAG chatbot with Flowise — a low-code visual pipeline.

How I built a retrieval-based (RAG) jewellery-store chatbot with Flowise — a low-code visual pipeline that reads a product catalogue, remembers context, and suggests alternatives when an item is out of stock. My Week 20 mini-project write-up.

Ajay Walia · Jul 1, 2026

Three RAG pipeline diagrams arranged side by side with a memory-efficiency overlay

📝 Quiz artificial-intelligence rag

RAG, Graph RAG, Agentic RAG — and How to Make Any of Them 32× Memory Efficient

A visual breakdown of three RAG architectures — when each one wins, where it breaks down, and how binary quantization can shrink the vector index by 32× without changing the architecture you picked.

Ajay Walia · May 28, 2026