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

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🌟Build and Explore the fascinating world of real-time knowledge servers! 🌟

🚀Experience the world of real-time knowledge servers powered by RAG, LLM, and Knowledge Graphs!

This article is a step-by-step guide, from setting up the Docker environment to implementing the FastAPI server, aimed at showcasing the practical application of cutting-edge technologies.

🎯 What's in the box :

Understanding the Building Blocks :
Get an overview of core technologies including Streaming Q, callbacks, Large Language Models (LLMs), knowledge graphs (like Neo4j), and Retrieval Augmented Generation (RAG).

Hands-on Knowledge:
Follow the code walkthrough to build your own real-time, knowledge-based Q&A system.

Exploring Applications:
Learn how this system could power better chatbots, customer support tools, and unlock insights from your own data.

Configuring Models:
Explore how to load and configure embedding models and language models (LLMs) for your knowledge server.