Data & AI Features

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.

by @markdowners

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.

by @markdowners