docs: consolidate and archive redundant documentation
- Archived 13 API design iterations to docs/api-design-archive/ - Consolidated augmentation docs to docs/augmentations-archive/ - Maintained ONE definitive API doc at docs/api/README.md - Cleaned up documentation structure for 2.0 release - Preserved all historical documents for reference
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# Getting Started with Brainy
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This guide will help you get up and running with Brainy, the multi-dimensional AI database that combines vector similarity, graph relationships, and field filtering.
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This guide will help you get up and running with Brainy, the multi-dimensional AI database that combines vector similarity, graph relationships, and metadata filtering.
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## Installation
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const results = await brain.find("show me technology articles about AI from 2023")
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// Automatically interprets: topic, category, and time range
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// Structured queries with vector similarity and field filtering
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// Structured queries with vector similarity and metadata filtering
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const structured = await brain.find({
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like: "artificial intelligence",
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where: {
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