{"product_id":"optimize-ai-retrieval-build-your-rag-pipeline-now","title":"Optimize AI Retrieval: Build Your RAG Pipeline Now","description":"\u003ch3\u003eOptimize AI Retrieval: Build Your RAG Pipeline Now\u003c\/h3\u003e\n\n\u003cp\u003eThis AI agent skill facilitates the construction of retrieval-augmented generation (RAG) pipelines over your proprietary documents. It includes capabilities such as structure-aware chunking, pinned embeddings in pgvector, and hybrid vector plus full-text search with Reciprocal Rank Fusion (RRF) for enhanced query precision and tenant isolation. The skill also supports retrieval evaluations before initiating prompt tuning for improved accuracy in AI-generated answers.\u003c\/p\u003e\n\n\u003ch3\u003eWhat this skill does\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eIngest and normalize data from your documents.\u003c\/li\u003e\n  \u003cli\u003ePerform structure-aware chunking to optimize data retrieval.\u003c\/li\u003e\n  \u003cli\u003eEmbed data using pinned embeddings stored in \u003ccode\u003epgvector\u003c\/code\u003e.\u003c\/li\u003e\n  \u003cli\u003eImplement hybrid vector and full-text search with RRF.\u003c\/li\u003e\n  \u003cli\u003eEnsure tenant isolation during query execution.\u003c\/li\u003e\n  \u003cli\u003eProvide retrieval evaluations (recall@k, MRR) prior to prompt tuning for refined response accuracy.\u003c\/li\u003e\n  \u003cli\u003eGenerate answers with citations, incorporating an \"I don't know\" path for uncertain queries.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eWho it is for\u003c\/h3\u003e\n\u003cp\u003eThis skill is tailored for developers and teams utilizing AI coding agents, such as Claude Code, Cursor, and Codex. It is particularly beneficial for those who require detailed retrieval systems to enhance AI interactions with proprietary data.\u003c\/p\u003e\n\n\u003ch3\u003eUse cases\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eBuilding sophisticated document retrieval systems for customer support applications.\u003c\/li\u003e\n  \u003cli\u003eDeveloping internal knowledge bases that require precision retrieval and citation.\u003c\/li\u003e\n  \u003cli\u003eEnhancing AI applications that rely on structured document analysis and answer generation.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch3\u003eTechnical details\u003c\/h3\u003e\n\u003cul\u003e\n  \u003cli\u003eUtilizes \u003ccode\u003epgvector\u003c\/code\u003e as the default storage mechanism for embeddings.\u003c\/li\u003e\n  \u003cli\u003eEmploys hybrid search mechanisms, combining vector search with full-text RRF-based methods.\u003c\/li\u003e\n  \u003cli\u003eIntegrates tenant isolation to ensure secure and separate query processing.\u003c\/li\u003e\n  \u003cli\u003eSupports manual retrieval evaluation measures like recall@k and Mean Reciprocal Rank (MRR).\u003c\/li\u003e\n  \u003cli\u003eRelies on understanding and mapping existing vector schemas and retrieval code through grep-based audits.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c!-- mcpcart:static-blocks:start --\u003e\n\u003chr\u003e\n\u003ch3\u003eSource \u0026amp; Licence\u003c\/h3\u003e\n\u003cp\u003eThis package is built on open-source work published by \u003cstrong\u003eVelimirMueller\u003c\/strong\u003e (\u003ca href=\"https:\/\/github.com\/VelimirMueller\/claude-skills\" rel=\"nofollow noopener\" target=\"_blank\"\u003eVelimirMueller\/claude-skills\u003c\/a\u003e) and distributed under \u003cstrong\u003eMIT\u003c\/strong\u003e. The original licence text and copyright notice are included in your download.\u003c\/p\u003e\n\u003cp\u003ePersonal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.\u003c\/p\u003e\n\u003cp\u003eYour purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.\u003c\/p\u003e\n\u003ch3\u003eDelivery \u0026amp; Support\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eDelivery:\u003c\/strong\u003e instant — a secure download link is emailed to you as soon as payment is confirmed.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFormat:\u003c\/strong\u003e ZIP archive containing the skill files, documentation and the original licence.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSupport:\u003c\/strong\u003e \u003ca href=\"mailto:support@mcpcart.com\"\u003esupport@mcpcart.com\u003c\/a\u003e — we aim to reply within 2 business days.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUpdates:\u003c\/strong\u003e updates are included only where stated on this page.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eRefunds\u003c\/h3\u003e\n\u003cp\u003eThis is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.\u003c\/p\u003e\n\u003cp style=\"font-size:0.85em;color:#666;\"\u003eClaude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.\u003c\/p\u003e\n\u003c!-- mcpcart:static-blocks:end --\u003e","brand":"MCP Cart","offers":[{"title":"Default Title","offer_id":53149278110007,"sku":"MCP-VELIMIRMUELLER-CLAUDE-SKILLS-BUILD-RAG-PIPELINE","price":20.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0981\/3950\/4951\/files\/8ulGNEwsN16eseAEaQhzN_de25f3357fc24f48af2d74c6c3de74e9.jpg?v=1791709718","url":"https:\/\/mcpcart.com\/products\/optimize-ai-retrieval-build-your-rag-pipeline-now","provider":"SPF PRO","version":"1.0","type":"link"}