msia-rag
CommunityRAG patterns for MSI-a document workflows.
Software Engineering#rag#document-processing#vector-search#retrieval-augmented-generation#hybrid-llm#regulatory-documents
Authorpepeccz
Version1.0.0
Installs0
System Documentation
What problem does it solve?
MSI-a's RAG-based workflow enables fast, accurate Q&A over regulated documents by retrieving, chunking, and citing relevant content from uploaded texts.
Core Features & Use Cases
- End-to-end RAG pipeline: document ingestion, semantic chunking with heading hierarchies, hybrid LLM routing (local + cloud), and citation-rich responses.
- Multi-source search: vector search via Qdrant and keyword search with PostgreSQL, merged with RRF for high-relevance results.
- Compliance-grade QA: supports regulatory documents and mappings to sections for accurate citations.
Quick Start
Upload a regulatory document and ask a question to retrieve, cite, and answer using the most relevant chunks.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: msia-rag Download link: https://github.com/pepeccz/msi-a/archive/main.zip#msia-rag Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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