shivamsanju/ragswift

🚀 Scale your RAG pipeline using Ragswift: A scalable centralized embeddings management platform

31
/ 100
Emerging

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.

No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 7 / 25
Maturity 16 / 25
Community 8 / 25

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Stars

38

Forks

3

Language

Python

License

MIT

Last pushed

Jan 29, 2024

Commits (30d)

0

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