---
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