Essential Tips for Developing a Retrieval-Augmented Generation (RAG) Chatbot Pipeline
This project post does not show how to create a RAG chatbot but see some key considerations for building a production RAG chatbot. High-level overview of a not-vanilla RAG pipeline Building a Retrieval-Augmented chatbot can be done easily using OSS stacks, LangChain or LlamaIndex with vector databases such as FAISS and pretty UIs (Gradio or Streamlit) with API calls to OpenAI or using local LLMs with llama-cpp-python. This post will not be on how to create a vanilla RAG chatbot but take a brief look at some interesting points to make a RAG for production. A high level overview of that pipeline can be seen in the image above. ...