shivamsanju/ragswift
🚀 Scale your RAG pipeline using Ragswift: A scalable centralized embeddings management platform
Leverages Ray for distributed parallel document processing across CPU/GPU clusters and Qdrant's disk-based vector indexing to handle billions of embeddings at scale. Provides REST APIs for ingesting documents from S3 and GitHub, with Ray Serve handling API scalability across distributed nodes. Self-hostable platform enabling centralized embeddings management across multiple RAG applications from a single deployment.
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Stars
38
Forks
3
Language
Python
License
MIT
Category
Last pushed
Jan 29, 2024
Commits (30d)
0
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