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docs: add technical explanation subtitle for Brainy Chat feature

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- Add brief technical overview explaining how Brainy Chat works
- Mentions key components: vector embeddings, graph relationships, metadata filtering, and optional LLM
- Helps readers understand the technology behind the one-line API
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David Snelling 2025-08-08 06:24:08 -07:00
parent 6c11956df3
commit 7b6302ff25
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README.md
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@ -99,6 +99,8 @@ const answer = await chat.ask("What patterns do you see in customer behavior?")
// → AI-powered insights from your knowledge graph!
```
<sub>**How it works:** Combines vector embeddings for semantic understanding • Graph relationships for connection patterns • Metadata filtering for structured analysis • Optional LLM for natural language insights</sub>
**One line. Zero complexity. Optional LLM for genius-level responses.**
[📖 **Learn More About Brainy Chat**](BRAINY-CHAT.md)