Blockify Agentic Data Optimization — Data skill for Claude Code
Blockify: Agentic data optimization for enterprise RAG and agentic search.
How to install Blockify Agentic Data Optimization
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open patchy631/blockify-agentic-data-optimization and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Blockify Agentic Data Optimization does
Blockify: Agentic data optimization for enterprise RAG and agentic search. Blockify replaces naive chunking with deduplicated IdeaBlocks — ≈78X accuracy aggregate improvement, 2.29X vector search accuracy, 40X compression, 3.09X token efficiency. Integrates with LlamaIndex, LangChain, Obsidian, Milvus, Elastic, Supabase, Cloudflare.
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README
Transform messy enterprise content into compact, validated knowledge units optimized for AI
Patented data ingestion, distillation, and governance pipeline. IdeaBlocks replace naive chunking with structured, deduplicated, LLM-ready knowledge.
78X Aggregate Performance · 2.29X Vector Search Accuracy · 29.93X Distillation · 3.09X Token Efficiency · 40X Size Reduction
Transformer-based NLP extraction pipeline achieving 95%+ accuracy on unstructured documents. Implements multi- Full agentic RAG pipeline: adaptive chunking → Qdrant hybrid search (semantic + BM25 + RRF) → LangGraph ReAct An open source Agentic Engine Optimization (AEO) and Generative Engine Optimization (GEO) framework. Engineere 💸 A comprehensive AI-powered data explorer that combines FRED economic data & insights with vector search, re A technical portfolio dedicated to enterprise agentic development, organizing production-style builds by capab Loop until it's better — drop-in agentic loops (autoresearch, scientific writing, data analysis, code/SQL/prom GAIA RAG and agentic-retrieval specialist. Use PROACTIVELY for RAG pipeline work, document indexing, embedding Production RAG specialist focused on chunking strategy, retrieval quality, hybrid search, re-ranking, and eval Production-grade Python RAG backend engineer specializing in ChromaDB vector storage, sentence-transformers em
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