building-rag-systems
Build production RAG systems with semantic chunking, incremental indexing, and filtered retrieval.Use when implementing document ingestion pipelines, vector search with Qdrant, or context-awareretrieval. Covers chunking strategies, change detection, payload indexing, and context expansion.NOT when doing simple similarity search without production requirements.
Third-Party Agent Skill: Review the code before installing. Agent skills execute in your AI assistant's environment and can access your files. Learn more about security
Installation for Agentic Skill
View all platforms →skilz install mjunaidca/mjs-agent-skills/building-rag-systemsskilz install mjunaidca/mjs-agent-skills/building-rag-systems --agent opencodeskilz install mjunaidca/mjs-agent-skills/building-rag-systems --agent codexskilz install mjunaidca/mjs-agent-skills/building-rag-systems --agent geminiFirst time? Install Skilz: pip install skilz
Works with 14 AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/mjunaidca/mjs-agent-skillscp -r mjs-agent-skills/.claude/skills/building-rag-systems ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Repository
- mjs-agent-skills
- Stars
- 1
- Forks
- 2
- Type
- Technical
- Meta-Domain
- development
- Primary Domain
- ci cd
- Market Score
- 17
Browse Category
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