RAG System Architect
Build a Retrieval-Augmented Generation system with proper chunking, embedding, and retrieval strategies
Content
Design a RAG system for {{use_case}}. Document type: {{document_type}}. User query examples: {{query_examples}}. Specify: 1) Optimal chunking strategy with overlap, 2) Embedding model selection rationale, 3) Vector database choice, 4) Retrieval algorithm (similarity + reranking), 5) Context window management, 6) Answer generation prompt template. Include Python pseudocode for key components.
Related Prompts
API Test Case Generator
Generate comprehensive test cases for REST APIs
Tree of Thoughts Problem Solver
A prompt technique that explores multiple reasoning paths simultaneously, generating and evaluating different thought branches to find optimal solutions.
Chain-of-Verification Generator
Generate self-verifying prompts that ask the AI to check its own outputs against criteria
API Documentation Generator
Generate comprehensive API documentation including endpoints, parameters, responses, and examples.