# Vllm RAG

> RAG with Vllm. building RAG systems.

- Skill: `ssrjkk/vllm-rag` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add ssrjkk/vllm-rag`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ssrjkk/vllm-rag/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: ssrjkk (https://skillmd.com/u/ssrjkk)
- Updated: 2026-08-19
- Page: https://skillmd.com/skills/ssrjkk/vllm-rag

---


# Vllm RAG

> RAG with Vllm. building RAG systems.

## Quick Start
```python
# Vllm RAG
# See Vllm docs
```

## When to Use
- Building applications with Vllm
- building RAG systems
- document QA
- semantic search

## Step-by-Step
1. Install: `pip install vllm`
2. Set up Vllm
3. Configure RAG
4. Implement features
5. Test and verify

## Dependencies
- Vllm >= latest stable
- Runtime environment
- Dependencies as needed

## Examples
```python
# Vllm RAG
# See Vllm documentation
```

## Resources
- Official Vllm documentation
- Community tutorials
- GitHub repositories

## Validation
- Run: `vllm --version`
- Test with sample data
- Verify output correctness