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docs: consolidate and archive redundant documentation

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- 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- Preserved all historical documents for reference
This commit is contained in:
David Snelling 2025-08-25 10:15:38 -07:00
parent ef8f35ec2a
commit 994276f09f
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docs/architecture/triple-intelligence.md
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# Triple Intelligence System
The Triple Intelligence System is Brainy's revolutionary query engine that unifies vector similarity, graph relationships, and field filtering into a single, optimized query interface.
The Triple Intelligence System is Brainy's revolutionary query engine that unifies vector similarity, graph relationships, and metadata filtering into a single, optimized query interface.
## Overview
Traditional databases force you to choose between vector search, graph traversal, OR field filtering. Brainy combines all three intelligences into one magical API that automatically optimizes execution for maximum performance.
Traditional databases force you to choose between vector search, graph traversal, OR metadata filtering. Brainy combines all three intelligences into one magical API that automatically optimizes execution for maximum performance.
## Query Interface
@ -116,7 +116,7 @@ const results = await brain.find({
like: "recent posts", // Applied to filtered set
limit: 5
})
// Field filter first, then vector search on results
// Metadata filter first, then vector search on results
```
## Fusion Ranking
@ -193,7 +193,7 @@ Brainy uses itself to optimize queries:
Triple Intelligence leverages all available indexes:
- **HNSW Index**: For vector similarity
- **Metadata Index**: For field filtering
- **Metadata Index**: For metadata filtering
- **Graph Index**: For relationship traversal
## Advanced Features