#retrieval-augmented-generation
2 posts tagged with #retrieval-augmented-generation
Every article below is hand-written, technically reviewed, and focused on retrieval-augmented-generation. Posts cover real-world architecture decisions, code-level implementation patterns, and trade-offs you'll only discover after shipping production systems.
AI and Machine Learning RAG Context Window Limits: Why Bigger Is Not Better [2026]
Expanding your context window from 4K to 128K tokens doesn't fix RAG — it masks retrieval failures with coherent-sounding hallucinations. Here's the measurement framework that actually works.
AI and Machine Learning LangChain vs LlamaIndex 2026: Which LLM Framework Should You Pick?
LangChain wins for building complex, multi-step AI agents and conversational workflows; LlamaIndex wins for production-grade RAG pipelines and data-heavy retrieval systems. Choose based on whether your app is agent-first or retrieval-first.