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Initial commit: multimodal RAG guide with Claude Code

Prompt-driven guide for building multimodal search using
Gemini Embedding 2 + Pinecone + Claude Code. Includes example
data (NASA public domain), step-by-step prompts, concepts
explainer, cost breakdown, and troubleshooting guide.
This commit is contained in:
Kjell Tore Guttormsen 2026-03-12 16:36:22 +01:00
commit edcd1721df
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# Gemini Embedding 2 (from Google AI Studio)
# Get your key at: https://aistudio.google.com/ > "Get API key"
GOOGLE_API_KEY=
# Pinecone Vector Database
# Get your key at: https://app.pinecone.io/ > "API Keys"
PINECONE_API_KEY=
# Pinecone index name (the one you created in the dashboard)
PINECONE_INDEX=space-search