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Production-Ready RAG Tutorial 2026 | Build & Deploy Local and Enterprise RAG Systems

📚 Topics Covered
RAG Fundamentals

✅ What is RAG?

✅ Why RAG is better than Fine-Tuning for many use cases

✅ RAG Workflow Explained

✅ RAG vs Fine-Tuning

✅ RAG vs AI Agents

Local Development Setup

✅ Install Ollama

✅ Run Local LLMs

✅ Document Processing

✅ PDF Parsing

✅ Chunking Strategies

✅ Embedding Models

✅ Local Vector Database Setup

ChromaDB
FAISS

✅ Query Pipeline

Production Architecture

✅ Enterprise RAG Architecture

✅ API Layer

✅ Authentication & Authorization

✅ Hybrid Search

✅ Metadata Filtering

✅ Multi-Tenant Architecture

✅ High Availability

✅ Horizontal Scaling

✅ Caching Strategies

Vector Databases

✅ ChromaDB

✅ FAISS

✅ Pinecone

✅ Weaviate

✅ Milvus

✅ Qdrant

LLM Integration

✅ Local Models

Llama
Mistral
Gemma

✅ Cloud Models

GPT
Claude
Gemini
Advanced RAG Concepts

✅ Parent-Child Chunking

✅ Semantic Search

✅ Hybrid Search

✅ Reranking

✅ Context Compression

✅ Knowledge Graph RAG

✅ Agentic RAG

✅ Multi-Agent RAG

Production Deployment

✅ Docker

✅ Kubernetes

✅ AWS

✅ Azure

✅ Google Cloud

✅ Monitoring

✅ Logging

✅ Observability

✅ Security

✅ Cost Optimization

🏗 Production Architecture Covered
User


Angular / React UI


API Gateway


Authentication Layer


RAG Orchestrator

├── Embedding Service

├── Vector Database

├── Metadata Store

├── Reranker

└── LLM Service


Generated Response
🎯 What You'll Learn

✔ Build a ChatGPT-style chatbot

✔ Query PDFs and documents

✔ Create enterprise knowledge assistants

✔ Deploy RAG on your laptop

✔ Scale RAG for thousands of users

✔ Secure enterprise AI systems

✔ Design production-ready architectures

✔ Reduce LLM hallucinations

✔ Optimize costs

💼 Real-World Use Cases
Enterprise Knowledge Assistant

Search HR, Legal, Compliance, and Policy documents.

Healthcare Assistant

Search medical reports and healthcare guidelines.

Banking Assistant

Query policies, regulations, and customer documentation.

Legal Assistant

Search contracts and legal agreements.

Customer Support

Use company documentation for accurate responses.

Software Development

Search architecture documents, APIs, and codebases.

👨‍💻 Perfect For
AI Engineers
Solution Architects
Software Engineers
Cloud Engineers
Data Engineers
Product Managers
CTOs
Technical Leads
Enterprise Architects
#RAG
#RetrievalAugmentedGeneration
#GenerativeAI
#LLM
#AIEngineer
#LangChain
#LlamaIndex
#VectorDatabase
#EnterpriseAI
#AIAgents
#ArtificialIntelligence
#MachineLearning
#SoftwareArchitecture
#CloudComputing
#ProductionAI

Видео Production-Ready RAG Tutorial 2026 | Build & Deploy Local and Enterprise RAG Systems канала Micro Learning
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