1 repositorio
Awesome GitHub RepositoriesMilvus Feature Stores
Materializing feature values into a Milvus vector database for low-latency online retrieval.
Distinct from Vector Stores: Distinct from Vector Stores: focuses on using Milvus as the specific vector database backend for feature store materialization, not general in-memory vector data structures.
Explore 1 awesome GitHub repository matching data & databases · Milvus Feature Stores. Refine with filters or upvote what's useful.
Awesome Milvus Feature Stores GitHub Repositories
Encuentra los mejores repositorios con IA.Buscaremos los repositorios que mejor coincidan usando IA.
- feast-dev/feast
feast-dev/feast
6,727Ver en GitHubFeast is an open-source feature store for machine learning that provides a central platform for defining, storing, and serving features across both training and inference workflows. It operates as a declarative system where feature definitions are written as code in Python files, synchronized to a central registry, and made available for low-latency online retrieval or point-in-time correct historical joins for training datasets. The project abstracts storage behind a pluggable architecture, allowing offline and online backends to be swapped without changing retrieval logic, and coordinates ma
Supports storing feature values in a Milvus vector database for low-latency online retrieval.
Pythonbig-datadata-engineeringdata-quality
