by PromptSpace
Design, debug, and optimize production RAG systems with expert architecture, hybrid search, and grounding strategies.
$5
One-time purchase
by PromptSpace
Design, debug, and optimize production RAG systems with expert architecture, hybrid search, and grounding strategies.
$5
One-time purchase
⚡ Skill ready to install in Claude Code, Gemini CLI, or any MCP-compatible client. Read the install guides →
Designing a production-ready Retrieval-Augmented Generation (RAG) system requires more than just a vector database and a prompt. The RAG Architect skill provides a developer-centric framework for building, hardening, and troubleshooting complex retrieval stacks, moving beyond generic implementations to high-performance architecture.
This skill acts as a senior systems architect for your AI pipeline. It analyzes ingestion workflows, document parsing, chunking strategies, embedding selection, and vector store performance. Whether you are building from scratch or fixing a broken implementation, it applies a rigorous, evidence-based methodology to ensure your agent stays grounded and accurate.
Standard LLM prompts often treat "bad answers" as model hallucinations. This skill identifies when the problem is actually a metadata filter mismatch, poor chunking semantics, or an inefficient reranker. It helps you reduce latency and cost by optimizing the weakest stage of your pipeline rather than over-relying on expensive long-context windows.
mkdir -p ~/.claude/skills/rag-architect && curl -s -X POST 'https://api.promptspace.in/api/skills/rag-architect/install' | python3 -c "import sys,json; sys.stdout.write(json.load(sys.stdin).get('installInstructions') or '')" > ~/.claude/skills/rag-architect/SKILL.mdFree skills install directly. Paid skills require purchase - use the download button above after buying.
Security Scanned
Passed automated security review
No special permissions declared or detected
OpenClaw, Cursor, Claude Code, Codex CLI
PromptSpace
We build AI agent skill packages for content creators. Specializing in Chinese social media automation.