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Technical Report: Modern RAG Architectures
Noosphere (SmartFAQs Originals)
Overview
Explorations in Structured AI Reasoning (Article Set)
I. Foundational Concepts
What is RAG?
Benefits Over Standard LLM Generation
Why RAG Reduces Hallucinations
RAG vs. Prompting vs. Fine-tuning Comparison
Historical Evolution of RAG
Core RAG Elements
RAG Architecture Taxonomy
Model Selection Strategies
II. Retrieval Systems & Techniques
Chunking Strategies
Embeddings
Search Algorithms
Structured & Semantic Search
Retriever & Generator Co‑Design
III. RAG Pipelines & Patterns
Basic RAG Flows
Advanced RAG Patterns
Agentic & Dynamic Strategies
Pipeline Extensions
IV. Use Cases & Applications
Customer Support Agents
Legal Assistants
Medical & Clinical Decision Aids
Enterprise Knowledge Bases
Document Search & Summarization
Content Automation
Research Assistants
Adaptive Learning Systems
Journalism & Fact Checking
Code Assistants
API Documentation Search
DevOps Knowledge Retrieval
Specification Summarizers
Personal Knowledge Assistants
Educational Tutors
Personal Knowledge Management (PKM)
V. Data Ingestion & ETL for RAG
Extraction
Transformation & Cleaning
Storage & Formats
Metadata Enrichment
VI. Vector Databases & Platforms
Commercial & Managed Options
Self-Hosted & Open Source
Metadata & Filtering
VII. Evaluation, Metrics & QA
RAG Metrics
Benchmarks & Tools
Error Modes
VIII. Production & Deployment
Infrastructure
Optimization
Security & Compliance
IX. Advanced Extensions
Multi-Modal RAG
Dynamic Knowledge Bases
Personalization
Meta-RAG
X. Tools, Libraries & Ecosystem
Open Source SDKs
Connector Tools
Orchestration Platforms
Monitoring & Observability
2025 Plug‑Ins & API Ecosystem
XI. Prompts, Templates & Best Practices
Prompting for RAG
Dynamic Prompting
Prompt Evaluation
XII. Governance & Ethical Considerations
Bias Mitigation
Transparency
Explainability
Data Provenance Tracking
Consent & Privacy Policies
XIII. Emerging Trends & Research
Graph-RAG Hybrids
Retrieval-Based Fine-Tuning (RAFT)
Cross-Lingual RAG
Zero-Shot vs Few-Shot RAG
RAG + Simulation / Synthetic Context
Causal & Structured Retrieval
Continual Learning with RAG
XIV. Real‑World Case Studies & Benchmarks
Case Studies
Benchmarks
XV Visual Topical Representations
Mermaid Diagram of RAG Topology
XVI. AI Agents & Chatbots
Orientation: Chatbots vs AI Agents
Core Foundations: What Makes an AI Agent
Cognitive Architectures & Reasoning Strategies
Agent Design Patterns
Frameworks, Tooling, and Runtimes
Operations, Ethics, and Failure Modes
Practical Deployment Playbooks
The Future of Agents
XVII Additional Strategic Considerations
Performance Optimization Trade-offs
Scalability Pathways
Team Structure for RAG Development
Common Failure Patterns
Best Practices Summary

Learn RAG

A structured knowledge hub for understanding Retrieval-Augmented Generation, from foundational concepts to production best practices.

Evidence-based learning for AI practitioners

Explore Topics

Structured learning paths covering every aspect of RAG systems, from fundamentals to advanced production techniques.

Noosphere (SmartFAQs Originals)

I. Foundational Concepts

II. Retrieval Systems & Techniques

III. RAG Pipelines & Patterns

IV. Use Cases & Applications

V. Data Ingestion & ETL for RAG

VI. Vector Databases & Platforms

VII. Evaluation, Metrics & QA

VIII. Production & Deployment

IX. Advanced Extensions

X. Tools, Libraries & Ecosystem

XI. Prompts, Templates & Best Practices

XII. Governance & Ethical Considerations

XIII. Emerging Trends & Research

XIV. Real‑World Case Studies & Benchmarks

XV Visual Topical Representations

XVI. AI Agents & Chatbots

XVII Additional Strategic Considerations

Glossary

Definitions and synonyms for key RAG concepts and terminology.

Knowledge Graph

Interactive visual map of semantic connections across the platform.

Featured Articles

Technical Report: Modern RAG Architectures

hub-noosphere-smartfaqs-originals

Overview

cluster-explorations-in-structured-ai-reasoning-article-set

Semantic Super-Resolution in AI Systems

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