> ## Documentation Index
> Fetch the complete documentation index at: https://docs.pawa-ai.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

> The Pawa AI Vectors API lets you create a high-quality embeddings for languages that can be used for retrieval-augmented generation (RAG), semantic search, personalization, and knowledge grounding.

## What You Can Do with:

* **Create Embeddings** → Get a vector representations of your data  with your documents.

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## Embeddings  Models includes

* **Pawa Embeddings** → High-quality vector representations for semantic search, clustering, and personalization.

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