> For the complete documentation index, see [llms.txt](https://qyverlabs.gitbook.io/qyverlabs-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://qyverlabs.gitbook.io/qyverlabs-docs/readme.md).
# Welcome
**Qyver** is a Python framework designed for AI Engineers developing high-performance search and recommendation applications that integrate both structured and unstructured data.
#### **Why Qyver?**
Enhance vector search relevance by encoding metadata alongside unstructured data into vectors. Learn more at Why Qyver.
#### **What is Qyver?**
A framework and self-hostable REST API server that seamlessly connects your data, vector database, and backend services.
#### **How does it work?**
Build custom data and query embedding models using pre-trained encoders from **sentence-transformers**, **open-clip**, and custom encoders for numbers, timestamps, and categorical data. Explore concepts and use cases for examples.
If you find Qyver useful, give us a [⭐](mailto:undefined)!
### Getting Started
