Скачать или смотреть Build Your Own Local RAG AI Agent with Python & Ollama - Complete Tutorial

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GitHub Repo for DSAAMP codes: https://github.com/AammarTufail/DSAAM...
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🤖 Learn how to build a complete Retrieval-Augmented Generation (RAG) AI agent that runs entirely on your local machine! No API keys, no cloud services - just pure local AI power.

🎯 What You'll Learn:
✅ Set up Ollama with Llama 3.2 and embedding models
✅ Create vector embeddings with ChromaDB
✅ Build a document retrieval system
✅ Handle SSL and telemetry issues (Windows troubleshooting included!)
✅ Create an interactive chat interface
✅ Process CSV data for AI question-answering

🛠️ Tech Stack:
Python 3.11
Ollama (Llama 3.2 + mxbai-embed-large)
LangChain & LangChain-Ollama
ChromaDB for vector storage
Pandas for data processing

📁 Project Features:
🔍 Vector similarity search
💬 Interactive command-line chat
📊 Pizza restaurant review analysis (sample data included)
🚀 Fully local - no internet required after setup
⚡ Fast retrieval with persistent vector database

⏰ Timestamps:
00:00 Introduction & Project Overview
02:36 Installing Ollama & Required Models
05:18 Project Detailts
14:07 Downloading models
16:59 Setting up Conda Environment
22:44 Building the Vector Store
27:54 Creating the Main Chat Application
32:34 Troubleshooting SSL Issues
44:00 Testing the RAG System
49:50 Next Steps & Assignments

🎯 Perfect For:
AI/ML enthusiasts
Python developers
Students learning about RAG systems
Anyone wanting to build local AI applications

📚 Student Assignments Mentioned:
1. Extend to support PDF, Word, and text documents
2. Build a Streamlit/FastAPI web interface
3. Add more document types and data sources

🔗 Resources:
GitHub Repository: [Link in comments]
Ollama Installation: https://ollama.ai
LangChain Documentation: https://langchain.com

💡 Why This Matters:
Learn to build AI systems that protect your data privacy by running everything locally. No more sending sensitive documents to external APIs!

🏷️ Tags: #AI #RAG #Python #Ollama #LangChain #LocalAI #MachineLearning #Tutorial #DataScience #LLM

👍 Like this video if it helped you build your own local RAG system!
🔔 Subscribe for more AI development tutorials!
💬 Comment below with your RAG project ideas!

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⚠️ Common Issues Solved in Video:
SSL certificate problems on Windows
Telemetry capture errors
Ollama connection issues
Environment variable configuration

🎓 Difficulty Level: Intermediate
⏱️ Estimated Build Time: 1-2 hours
💻 Works on: Windows, Mac, Linux

#LocalRAG #OllamaAI #LangChain #PythonTutorial #AIAgent #LocalLLM #ChromaDB #DataScience #MachineLearning #RAGSystem
#codanics #dataanalytics #pythonkachilla #pkc24 #dsaamp
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4-Months of Data Science to AI Agents Mentorship Program (DSAAMP)
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