Guides
Comprehensive guides for building and optimizing RAG systems
Comprehensive tutorials covering evaluation, deployment, and advanced RAG patterns.
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Getting Started with RAG
Level: Beginner
Introduction to RAG fundamentals, core architecture (Ingestion, Retrieval, Generation), and a basic Python implementation example.
Topics: fundamentals • architecture • python-example • vector-db
Evaluating RAG Systems
Level: Beginner
Build a systematic evaluation framework using synthetic data, retrieval metrics, and statistical validation.
Topics: synthetic-questions • retrieval-metrics • statistical-validation • experiment-tracking
Deploying RAG to Production
Level: Advanced
Best practices for moving RAG systems from prototype to production, including architecture patterns, monitoring, and scaling.
Topics: architecture • caching • monitoring • latency-optimization
RAG Cost Optimization
Level: Intermediate
Strategies to reduce token usage and infrastructure costs by up to 90%. Learn about prompt compression, model cascading, and cheaper embeddings.
Topics: cost-reduction • token-management • model-cascading • caching
Context Window Management
Level: Intermediate
Techniques for handling token limits and optimizing context utilization. Understand "Lost in the Middle" and smart chunking strategies.
Topics: token-limits • context-compression • re-ordering • sliding-window
Agentic RAG: Tool Selection
Level: Advanced
Build multi-tool RAG systems with systematic evaluation and orchestration.
Topics: tool-selection • parallel-execution • system-prompts • few-shot-examples