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3 modules
Data & AI Features → RAG & Embeddings
Rules for building retrieval-augmented generation systems that actually retrieve the right thing: chunking strategy, metadata filtering, hybrid search, retrieval evaluation, citation, and re-indexing discipline.
by @markdowners
Data & AI Features → Prompt Templates
Rules for building reusable LLM prompt templates: variable delimiting, system/user separation, input escaping, versioning, few-shot examples as data, edge-case testing, and output format contracts.
Data & AI Features → LLM Integration
How to integrate an LLM API into a production application: never trust model output blindly, streaming UX, retry with backoff on rate limits, token budget management, PII-aware prompt/response logging, fallback behavior on failure, cost monitoring, and model version pinning.