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ONE definitive API doc at docs/api/README.md - Cleaned up documentation structure for 2.0 release - Preserved all historical documents for reference
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# Architecture Overview
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Brainy is a multi-dimensional AI database that combines vector similarity, graph relationships, and field filtering into a unified query system. This document provides a comprehensive overview of the system architecture.
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Brainy is a multi-dimensional AI database that combines vector similarity, graph relationships, and metadata filtering into a unified query system. This document provides a comprehensive overview of the system architecture.
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## Core Components
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const results = await brain.find({
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like: "machine learning papers", // Vector similarity
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connected: { to: "research-team", depth: 2 }, // Graph traversal
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where: { published: { $gte: "2024-01-01" } } // Field filtering
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where: { published: { $gte: "2024-01-01" } } // Metadata filtering
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})
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```
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