Welcome
Last updated
Last updated
Qyver is a Python framework designed for AI Engineers developing high-performance search and recommendation applications that integrate both structured and unstructured data.
Enhance vector search relevance by encoding metadata alongside unstructured data into vectors. Learn more at Why Qyver.
A framework and self-hostable REST API server that seamlessly connects your data, vector database, and backend services.
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 !
Why Qyver?
Setup Qyver
Basic Building Blocks
Overview
Setup a Server
Configuring your app
Interacting via API
Supported Vector DBs
Multiple Embeddings
Dynamic Parameters
Changelog
Framework Overview