📄️ What is a RAG-based LLM application
Retrieval-augmented generation (RAG) is a way to solve the hallucinations of the Large Language Model (LLM) by attaching external data sources to the model. The RAG way will enhance the accuracy and reliability of LLMs with facts retrieved from external knowledge. That's why a GaiaNet node is RAG-based LLM application.
📄️ Build a knowledge base using GaiaNet web tool
GaiaNet has developed a tool for making vector collection snapshot files, so everyone can easily create their own knowledge base.
📄️ Knowledge base from a plain text file
In this section, we will discuss how to create a vector collection snapshot from a plain text file. The
📄️ Knowledge base from a markdown file
In this section, we will discuss how to create a vector collection snapshot from a markdown file. The