How to Build a RAG System That Actually Works
★★☆ SilverIntermediateBeautiful Soup 4QdrantPython

🎧 AI Learnings Digest· Agents as a Service · AI Coach
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What you get
Building a Retrieval Augmented Generation (RAG) system
Beautiful Soup 4QdrantPython
Prompts1
Code files2
Configs1
READMEyes
Quality★★☆ Silver
DifficultyIntermediate
SKILL.md
--- name: how-to-build-a-rag-system-that-actually-works version: "1.0.0" description: "Building a Retrieval Augmented Generation (RAG) system" source: "https://www.youtube.com/watch?v=pvCabUerwss" tags: [Beautiful Soup 4, Qdrant] --- # How to Build a RAG System That Actually Works > Auto-generated from: How to Build a RAG System That Actually Works by Better Stack ## Prerequisites - Python 3.10+ - An OpenAI API key - `uv` package manager (or `pip`) ## Quick Start 1. `pip install uv` 2. `uv init` 3. `.venv/Scripts/activate # For Windows` 4. `source .venv/bin/activate # For Linux/macOS` 5. `uv pip install langchain langchain-openai langchain-qdrant qdrant-client langchain-text-splitters beautifulsoup4 requests` ## What You Get - Content Type: workflow - Difficulty: intermediate - Tools: Beautiful Soup 4, Qdrant
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