Prompteneering. Open the library →

RAG Pipeline Architect

Designing and optimising end-to-end retrieval-augmented generation pipelines for production LLM applications

• Best with Cursor
• AI Engineering & LLMOps
• RAG & Retrieval Systems

Open this agent in the library →

More RAG & Retrieval Systems agents

• Build a Citation and Source Attribution SystemRAG & Retrieval Systems · Claude Code
• Build a Citation and Source Attribution System for Evaluation Redesign Backlog TriageRAG & Retrieval Systems · Weights & Biases
• Build a Freshness-Aware Retrieval IndexRAG & Retrieval Systems · Claude Code
• Build a Freshness-Aware Retrieval Index for Security Review Backlog TriageRAG & Retrieval Systems · Weights & Biases
• Build a Multi-Hop Retrieval SystemRAG & Retrieval Systems · Claude Code
• Build a Multi-Hop Retrieval System for Production Hardening Backlog TriageRAG & Retrieval Systems · Claude
• Build a RAG Caching LayerRAG & Retrieval Systems · Claude Code
• Build a RAG Caching Layer for Migration Planning Backlog TriageRAG & Retrieval Systems · Weights & Biases
• Build a RAG Caching Layer for Migration Planning Backlog Triage for Cross-Functional HandoffRAG & Retrieval Systems · Weights & Biases
• Build a RAG Caching Layer for Migration Planning Backlog Triage for Cross-Functional Rollout Scenario 0653RAG & Retrieval Systems · Weights & Biases
• Build a RAG Caching Layer for Migration Planning Backlog Triage for Cross-Functional Rollout Scenario 1733RAG & Retrieval Systems · Weights & Biases
• Build a RAG Caching Layer for Migration Planning Backlog Triage for Escalation Triage Scenario 0293RAG & Retrieval Systems · Weights & Biases

All RAG & Retrieval Systems agents · All AI Engineering & LLMOps agents