A practical 2026 guide comparing vector vs. keyword search: principles, pros/cons, costs, evaluation, and when to choose hybrid—with code snippets.
Build a production-ready tutorial for knowledge graph–enhanced AI retrieval: schema, ingestion, Cypher, hybrid search, and evaluation.
Design a reliable AI summarization API for news: architecture, schema, grounding, evaluation, safety, compliance, and cost strategies.
A practical blueprint for preventing prompt injection in LLM apps: threat models, mitigations, code patterns, testing, and operations.
Build a practical multi‑modal RAG system that retrieves from images and text using OCR, captions, CLIP embeddings, and vector search.
A practical guide to integrating an AI writing assistant via API—architecture, prompt design, code samples, safety, evaluation, and performance optimization.
