Build Simple Real-time Knowledge Server with RAG, LLM, and Knowledge Graphs in Docker

Dockerized Wisdom: Building Your Own Real-time Knowledge Server

Streamlining Knowledge Delivery : Step-by-Step Guide

Concepts to Creation : Every Detail Spelled Out Step-by-Step : Series 1 : Search Engine : Part 6

This is continuation of below :

How to build Knowledge Graph, and do Vector Indexing : MUST have skill in AI Era.

Why you should read this Article?

• Understand the building blocks : Get an overview of core technologies including Large Language Models (LLMs), knowledge graphs (like Neo4j), and Retrieval Augmented Generation (RAG).
• Gain hands-on knowledge : Follow the code walkthrough to build your own real-time, knowledge-based Q&A system.
• See the potential applications : Explore how this kind of system could power better chatbots, customer support tools, and unlock insights from your own data.
• Build customizable AI solutions : Learn how to adapt the foundational concepts to create customized Q&A solutions tailor-made for different data sources and use cases.