Vector Databases and Embeddings for Developers
Embeddings, vector vs traditional databases and building a full RAG system with C# and Semantic Kernel.
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What's inside
14 sections- 1 Table of Contents
- 2 Introduction
- 3 Module 1
- 4 Embeddings Overview
- 5 Differences Between Vector and Traditional Databases
- 6 The Role of Vector Databases in Managing AI System Data
- 7 Module 2
- 8 How Vector Databases Serve as External Memory
- 9 Reducing LLM Hallucinations
- 10 The Role of Embeddings and Vector Databases in RAG Systems
- 11 Module 3
- 12 Demo 1 — Creating Vectors from Text Queries
- 13 Demo 2 — Completing LLM Responses (Full RAG System)
- 14 Summary and Recap
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Training created by Gihad Sohsah — AI Tech Lead & Entrepreneur.
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