Tag: AI

Implement semantic caching to avoid redundant LLM calls and reduce API costs.

Use structured prompt templates to get reliable, formatted responses from LLMs.

Implement semantic search using text embeddings for more relevant results than keyword matching.

Build modular, tested, documented data transformations with dbt.

Use table partitioning to dramatically speed up queries on large datasets.

Use MERGE (upsert) for safe, rerunnable data pipelines that handle duplicates gracefully.