Design AI search grounded in your documents.
Designs document retrieval systems with architecture diagrams, database trade-offs, retrieval pipelines, and evaluation plans.
When to use it
Use when building retrieval-augmented generation systems or knowledge-grounded applications that need semantic search and document retrieval.
Give it a document retrieval system to design; it returns an architecture, database trade-offs, chunking rationale, retrieval pipeline, and evaluation plan.
The OpenAI embedding example supplies an API key to the client; the example does not establish where the actual key comes from.
The reranking implementation reads its Cohere API key from the COHERE_API_KEY environment variable.
This skill
Qdrant
Replaces a Qdrant collection (irreversible)
OpenAI
Sends document text to OpenAI