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rag-skills
rag-skills contiene 3 skills recopiladas de mozilla, con cobertura ocupacional por repositorio y páginas de detalle dentro del sitio.
Skills en este repositorio
Runs a read-only SQL query against the Customer Experience tables (moz-fx-data-shared-prod.customer_experience_derived) and returns results as a formatted table. Use when the question requires counts, aggregations, rankings, or distributions — not when it requires reading document text.
Runs VECTOR_SEARCH against the Customer Experience retrieval indexes (moz-fx-data-shared-prod.customer_experience_derived) and returns the top-K most semantically similar documents. Use after the embed skill has produced an embedding file.
Receives a text question and returns its embedding vector using gemini-embedding-001 via Vertex AI. Use this when you need a semantic embedding for a question — for downstream vector search, similarity comparison, or passing to another tool.