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notes/research/design/ai/semantic-search.md

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+---
+title: "Semantic Search Research"
+date: "10-11-2025"
+last_modified: "10-11-2025:19:21"
+tags: ["research", "ai", "search"]
+---
+
+# Semantic Search
+
+## Current Search
+
+Keyword-based with scoring.
+
+## Semantic Search
+
+Use embeddings for similarity:
+- OpenAI embeddings API
+- Local models (sentence-transformers)
+- Vector database (Pinecone, Weaviate)
+
+## Implementation
+
+1. Generate embeddings for all notes
+2. Store in vector DB
+3. Query with user search
+4. Return top-k similar
+
+## Cost Analysis
+
+OpenAI: /tmp/generate_notes.sh.0001 per 1K tokens
+Local: Free but slower