Documentation || Examples || Cloud
Geniusrise is a modular, loosely-coupled MLOps framework designed for the era of Large Language Models, offering flexibility and standardization in designing networks of AI agents.
It defines components and orchestrates them providing observability, state management and data handling, all while supporting diverse infrastructures. With its modular and unopinonated architecture, Geniusrise empowers teams to build, share, and deploy AI across various platforms.
Geniusrise is powered by its components:
- geniusrise-text: Text components offerring:
- Inference APIs
- Bulk inference
- Fine-tuning
- geniusrise-audio: Audio components offerring:
- Inference APIs
- Bulk inference
- Fine-tuning
- geniusrise-vision: Vision components offerring:
- Inference APIs
- Bulk inference
- Fine-tuning
- geniusrise-listeners: Streaming data ingestion
- geniusrise-databases: Bulk data ingestion
- Website: geniusrise.ai
- Docs: docs.geniusrise.ai
- Examples: geniusrise/examples
- Cloud: geniusrise.com
These are data ingestion modules for various databases. These components are Spouts that can be connected to downstreams batch-type bolts that can then process this data (e.g. for bulk processing usecases).