home/categories/llm-ai/mjunaidca-mjs-agent-skills-claude-skills-building-rag-systems-skill-md
llm-aidata-ai

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.

mjunaidca
maintainer
mjunaidca
Updated 12/22/2025
Stars
18
Forks
9
quick start

Installation and usage

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.

Installation
$ install --globalskills.sh
Usage

Once installed, you can use this skill by running the following command in your terminal:

skills use building-rag-systems