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.

prompts/03-search.md

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+# Prompt 3: Build the Search Interface
+
+Copy this into Claude Code after ingestion is complete.
+
+---
+
+```
+Now build a simple web interface for searching my content.
+I want a local web app (localhost) with:
+
+1. A search box where I type a question in plain English.
+
+2. When I search, the app should:
+   a. Convert my question to an embedding using Gemini Embedding 2
+      with task_type "RETRIEVAL_QUERY"
+   b. Search Pinecone for the 5 most similar chunks
+   c. Show me the matching results with:
+      - The source file name
+      - The relevant text snippet
+      - A similarity score
+      - If the result is from an image, show the image too
+
+3. Below the search results, add a "Ask Claude" button that:
+   a. Takes the search results as context
+   b. Sends them to Claude (use the claude CLI command, since I
+      have Claude Code installed) with my question
+   c. Shows Claude's answer, which should reference the specific
+      files it used
+
+Keep the design simple and clean. Dark background, readable text.
+No frameworks needed, just HTML + CSS + a small server.
+
+Start the app after building it.
+```
+
+---
+
+## What Claude Code will do
+
+1. Build a small web server (Express or similar)
+2. Create an HTML page with a search box
+3. Wire up the search to Gemini embeddings + Pinecone
+4. Add Claude integration for AI-powered answers
+5. Start the server
+
+## What to try
+
+Once the app is running, try these searches:
+
+- "What is the largest planet in our solar system?"
+  (Should find the Jupiter fact sheet AND the Jupiter image)
+
+- "Tell me about the first Moon landing"
+  (Should find the Aldrin image description)
+
+- "Which moon has active volcanoes?"
+  (Should find the moons PDF mentioning Io)
+
+- "How far is Jupiter from Earth?"
+  (Should find specific numbers from the Jupiter fact sheet)
+
+- "What can astronauts see from the space station?"
+  (Should find the ISS image description)
+
+These examples demonstrate the power of multimodal search:
+a question about "the largest planet" finds both text data
+AND a photograph, because both are semantically related.