langchain-rag-overview
CommunityMaster RAG patterns with LangChain.
Authorchristian-bromann
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Retrieval Augmented Generation enables building QA systems that access external data sources to augment model responses, addressing limited context and stale knowledge.
Core Features & Use Cases
- Two-Step RAG: retrieve then generate, suitable for straightforward QA over documents.
- Agentic RAG: interactive, tool-assisted retrieval for complex, multi-step queries.
- Use Case: Build Q&A systems over internal documents, websites, and knowledge bases with traceable sources.
Quick Start
Configure a basic RAG QA workflow over your document corpus.
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: langchain-rag-overview Download link: https://github.com/christian-bromann/langchain-skills/archive/main.zip#langchain-rag-overview Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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