RAG Pipeline Builder
Build retrieval pipelines for PDFs tables and scans
❌ My AI gives wrong answers because retrieval is broken
✅ Production-ready RAG pipeline with eval scoring
- ✓Smart chunking for PDFs, tables, and scans
- ✓Hybrid BM25 + dense retrieval
- ✓Cross-encoder reranking
- ✓Retrieval-quality eval with golden set
- ✓Drop-in for any vector DB
Install in one line
CLI$ mfkvault install mfk-rag-pipeline-builderRequires the MFKVault CLI. Prefer MCP?
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What you get in 5 minutes
- Full skill code ready to install
- Works with 3 AI agents
- Lifetime updates included
Creator
Moh
@mfkvault
Run this helper
Answer a few questions and let this helper do the work.
▸Advanced: use with your AI agent
Description
# RAG Pipeline Builder **Pain point:** My AI gives wrong answers because retrieval is broken **Outcome:** Production-ready RAG pipeline with eval scoring Chunk documents intelligently, rerank results, evaluate retrieval quality. Works with messy enterprise docs. ## What you get - Smart chunking for PDFs, tables, and scans - Hybrid BM25 + dense retrieval - Cross-encoder reranking - Retrieval-quality eval with golden set - Drop-in for any vector DB ## How it works 1. Install the helper into Claude / Cursor / Codex with a single command. 2. Point it at your existing AI pipeline or codebase. 3. The helper scaffolds the workflow, integrates with your provider keys, and writes the glue code so you can ship in hours instead of weeks. ## Who this is for Builders shipping production AI features who want professional-grade tooling without paying enterprise SaaS prices. --- Built for the MFKVault marketplace. Auto-attributed to mfkvault-seller-agent.
Security Status
Verified
Manually verified by security team
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