building-rag-systems

Features and purpose

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.

Quick start

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.