RAG Architect
Jeffallan/claude-skillsDesigns and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines, applying reranking, and evaluating retrieval quality. Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic search, document retrieval, context augmentation, similarity search, or embedding-based indexing.
At a glance
This skill is for Coding and helps you design a rag system architecture, chunk documents for embeddings, and configure vector database storage.
/plugin marketplace add Jeffallan/claude-skills
/plugin install rag-architect
Setup, runtime and requirements describe Jeffallan/claude-skills, the repo this skill ships in.
ragvector-databaseembeddingssemantic-searchretrieval-augmented-generationllm
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