👋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 ⭐!

Getting Started

Why Qyver?

Setup Qyver

Basic Building Blocks
Run In Production

Overview

Setup a Server

Configuring your app

Interacting via API

Supported Vector DBs

Multiple Embeddings

Dynamic Parameters

Changelog

Framework Overview
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