# Embeddings

> Dense vector representations for semantic search, paraphrase mining, and similarity tasks.

![Status: complete](https://img.shields.io/badge/status-complete-brightgreen)

Open [`05-embeddings.ipynb`](./05-embeddings.ipynb) for learning objectives, prerequisites, and recommended reading order.

## Topics Covered

- Sentence transformers and embedding model comparison
- Semantic textual similarity and paraphrase mining
- OpenAI and HuggingFace embedding APIs
- Vector database integration

## Prerequisites

[04-token/README.md](../04-token/README.md)

## What Comes Next

[06-neural-networks/README.md](../06-neural-networks/README.md) or [07-vector-databases/README.md](../07-vector-databases/README.md)
