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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
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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Информация о видео
12 июня 2026 г. 12:02:16
00:11:42
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