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-aware retrieval. Covers chunking strategies, change detection, payload indexing, and context expansion. NOT when doing simple similarity search without production requirements.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install mjunaidca-mjs-agent-skills-building-rag-systems
Repository
Skill path: .claude/skills/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-aware retrieval. Covers chunking strategies, change detection, payload indexing, and context expansion. NOT when doing simple similarity search without production requirements.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Full Stack, Data / AI.
Target audience: Development teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: mjunaidca.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install building-rag-systems into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/mjunaidca/mjs-agent-skills before adding building-rag-systems to shared team environments
- Use building-rag-systems for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.