What You Can Do with:
- Create Embeddings → Get a vector representations of your data with your documents.
Embeddings Models includes
- Pawa Embeddings → High-quality vector representations for semantic search, clustering, and personalization.
Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
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.