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.
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env.template
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env.template
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# Gemini Embedding 2 (from Google AI Studio)
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# Get your key at: https://aistudio.google.com/ > "Get API key"
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GOOGLE_API_KEY=
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# Pinecone Vector Database
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# Get your key at: https://app.pinecone.io/ > "API Keys"
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PINECONE_API_KEY=
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# Pinecone index name (the one you created in the dashboard)
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PINECONE_INDEX=space-search
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