Build robust AI agent memory with episodic and semantic layers: schemas, retrieval, consolidation, evaluation, and governance—practical patterns included.
Hands-on Pinecone API tutorial: create serverless indexes, upsert vectors, filter metadata, and run semantic + hybrid search in Python & Node (2026).
A 2026 field guide to modern LLM prompt engineering: patterns, multimodal tips, structured outputs, RAG, agents, security, and evaluation.
A practical guide to choosing RAG vs fine-tuning, with a clear decision framework, patterns, code sketches, and pitfalls.
Build a production-ready LangChain API: LCEL chains, LangServe, FastAPI streaming, RAG, structured outputs, testing, and deployment tips.
