1. Semantic Artist DNA Search (RAG)

The Artist's Brain: Semantic DNA Search

Group 12 introduces one of the most powerful capabilities of the Chatmu MCP: the ability to semantically search an artist's entire qualitative profile. This is not about follower counts or streaming numbers — it's about understanding who the artist is at a cultural, visual, and emotional level.

Tool: RAG_artist_context

Description: THE ARTIST'S BRAIN. Performs a vector similarity search across all qualitative data previously extracted and embedded for an artist. This includes social media posts, song lyrics, visual aesthetics, color palettes, emotional tone, communication style, and more. Uses embedding models to find the most relevant context blocks matching your query.

Use Cases:

• Ask: "What is this artist's visual identity and aesthetic?" → Returns context about color palettes, wardrobe style, and Instagram visual patterns.
• Ask: "What themes dominate this artist's lyrics?" → Returns lyrical themes, emotional tone, and recurring topics.
• Ask: "How does this artist communicate with fans on social media?" → Returns communication style, tone, and engagement patterns.
• Ask: "What makes this artist unique compared to others in their genre?" → Returns differentiating traits and signature elements.

Input Schema:

{\n  "query": "visual identity and aesthetic style",\n  "artist_uuid": "uuid-here"\n}

Output: Returns ranked context blocks with the artist's name and the matched content text. Each block represents a chunk of the artist's DNA — a specific insight extracted from their digital footprint.

When to Use RAG Context

This tool should be used after the artist's DNA has been extracted and vectorized (done via the Chatmu platform's Artist DNA feature). If no DNA exists yet, the tool will return an empty result. It's the perfect complement to quantitative tools — while other groups give you numbers, this group gives you meaning.