qhjqhj00/MemoRAG
Empowering RAG with a memory-based data interface for all-purpose applications!
Combines long-context language models with retrieval-augmented generation by building global memory representations of entire document collections, enabling query-specific evidence retrieval without explicit indexing. Supports up to 1M tokens through beacon-based attention mechanisms and offers efficient context caching for 30x speedup; integrates with HuggingFace models (Qwen2, Llama, Mistral) and includes training datasets for task-specific fine-tuning.
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2,227
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155
Language
Python
License
Apache-2.0
Category
Last pushed
Sep 11, 2025
Commits (30d)
0
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