Simple RAG with JSON

This tutorial will show you how to build a simple semantic search system using your JSON data. We'll use a helpful tool called jrag to prepare the data, turn text into special numerical representations called "embeddings,

AI models we use for semantic search understand numbers much better than raw text or complex JSON structures. So, our main challenge is to convert our JSON data into meaningful text and then into these numerical representations (embeddings) that capture the text's meaning. While you could just flatten a whole JSON into one big string, that often includes irrelevant information. The jRAG library helps us carefully select and combine only the important fields from our JSON into a clean text string, perfect for creating high-quality embeddings. jRAG uses jsonpath-ng expressions to precisely target the data you want to extract.