building-rag-systems
This skill provides detailed implementation patterns for building RAG systems using LangChain and Qdrant. It covers 8 distinct architectures, semantic chunking strategies, and includes production-ready code for ingestion pipelines, search, and FastAPI deployment. The documentation includes concrete examples for change detection and context expansion.
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 panaversity-agentfactory-building-rag-systems
Repository
Skill path: .claude/skills/building-rag-systems
This skill provides detailed implementation patterns for building RAG systems using LangChain and Qdrant. It covers 8 distinct architectures, semantic chunking strategies, and includes production-ready code for ingestion pipelines, search, and FastAPI deployment. The documentation includes concrete examples for change detection and context expansion.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI, DevOps.
Target audience: AI/ML teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: panaversity.
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/panaversity/agentfactory before adding building-rag-systems to shared team environments
- Use building-rag-systems for ai/ml workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.