13 prompts
Describe what data you need in plain English and get a working SQL query. Supports joins, aggregations, window functions, and CTEs.
Describe what you want to match in plain English and get a working regex pattern with explanation, test cases, and common variations.
Build a semantic code search engine using embeddings. Search by intent ('function that validates email') rather than exact text matches.
Build a Retrieval-Augmented Generation pipeline with hybrid search (vector + keyword) and a reranking step for higher precision answers.
Generate a JSON Schema from sample data. Infers types, required fields, patterns, and constraints. Ready for API validation or documentation.
Advanced code generation prompt. Machine Learning Model with customizable parameters for professional results.
Advanced code generation prompt. Fine-Tuning Data Prep with customizable parameters for professional results.
Intermediate code generation prompt. Python Data Pipeline with customizable parameters for professional results.
A advanced-level code prompt for creating mongodb aggregation pipeline. Fill in the variables to customize the output for your specific needs.
Clean, transform, and restructure messy CSV data. Handle missing values, standardize formats, merge columns, and output clean structured data.
Craft python web scraper with this structured code prompt. Adjustable variables let you fine-tune the output.
Craft rag pipeline with this structured code prompt. Adjustable variables let you fine-tune the output.
Advanced code generation prompt. Vector Embedding Service with customizable parameters for professional results.