rag-system
CommunityFast, accurate RAG generation.
Authorbadhope
Version1.0.0
Installs0
System Documentation
What problem does it solve?
RAG (Retrieval-Augmented Generation) systems address the challenge of knowledge retrieval to augment generative models with up-to-date, relevant information.
Core Features & Use Cases
- Vector stores and embedding pipelines for document indexing.
- Multi-model retrieval with context management and retrieval optimization.
- Use cases include knowledge base QA, document search, and dynamic information augmentation.
Quick Start
Load your document corpus, configure a vector store and embedding model, then run a retrieval-augmented generation pipeline to answer questions.
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: rag-system Download link: https://github.com/badhope/skill/archive/main.zip#rag-system Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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