PaoloAstrino/cubo

Self-contained RAG for consumer laptops (16 GB RAM): local ingestion, hybrid retrieval (FAISS + BM25), streaming processing, GDPR-aligned privacy. Runs 10 GB corpora offline with Llama 3.2.

21
/ 100
Experimental
No Package No Dependents
Maintenance 10 / 25
Adoption 2 / 25
Maturity 9 / 25
Community 0 / 25

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Stars

2

Forks

—

Language

Python

License

MIT

Category

academic-research-rag

Last pushed

Feb 10, 2026

Commits (30d)

0

GitHub
Academic Research RAG · 192 tools

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