ChunTe Lee's picture

ChunTe Lee

Chunte

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reacted to singhsidhukuldeep's post with 😔 about 14 hours ago

Exciting breakthrough in Retrieval-Augmented Generation (RAG): Introducing MiniRAG - a revolutionary approach that makes RAG systems accessible for edge devices and resource-constrained environments. Key innovations that set MiniRAG apart: Semantic-aware Heterogeneous Graph Indexing - Combines text chunks and named entities in a unified structure - Reduces reliance on complex semantic understanding - Creates rich semantic networks for precise information retrieval Lightweight Topology-Enhanced Retrieval - Leverages graph structures for efficient knowledge discovery - Uses pattern matching and localized text processing - Implements query-guided reasoning path discovery Impressive Performance Metrics - Achieves comparable results to LLM-based methods while using Small Language Models (SLMs) - Requires only 25% of storage space compared to existing solutions - Maintains robust performance with accuracy reduction ranging from just 0.8% to 20% The researchers from Hong Kong University have also contributed a comprehensive benchmark dataset specifically designed for evaluating lightweight RAG systems under realistic on-device scenarios. This breakthrough opens new possibilities for: - Edge device AI applications - Privacy-sensitive implementations - Real-time processing systems - Resource-constrained environments The full implementation and datasets are available on GitHub: HKUDS/MiniRAG

reacted to singhsidhukuldeep's post with 🤝 about 14 hours ago

Exciting breakthrough in Retrieval-Augmented Generation (RAG): Introducing MiniRAG - a revolutionary approach that makes RAG systems accessible for edge devices and resource-constrained environments. Key innovations that set MiniRAG apart: Semantic-aware Heterogeneous Graph Indexing - Combines text chunks and named entities in a unified structure - Reduces reliance on complex semantic understanding - Creates rich semantic networks for precise information retrieval Lightweight Topology-Enhanced Retrieval - Leverages graph structures for efficient knowledge discovery - Uses pattern matching and localized text processing - Implements query-guided reasoning path discovery Impressive Performance Metrics - Achieves comparable results to LLM-based methods while using Small Language Models (SLMs) - Requires only 25% of storage space compared to existing solutions - Maintains robust performance with accuracy reduction ranging from just 0.8% to 20% The researchers from Hong Kong University have also contributed a comprehensive benchmark dataset specifically designed for evaluating lightweight RAG systems under realistic on-device scenarios. This breakthrough opens new possibilities for: - Edge device AI applications - Privacy-sensitive implementations - Real-time processing systems - Resource-constrained environments The full implementation and datasets are available on GitHub: HKUDS/MiniRAG

reacted to singhsidhukuldeep's post with 👍 about 14 hours ago

Exciting breakthrough in Retrieval-Augmented Generation (RAG): Introducing MiniRAG - a revolutionary approach that makes RAG systems accessible for edge devices and resource-constrained environments. Key innovations that set MiniRAG apart: Semantic-aware Heterogeneous Graph Indexing - Combines text chunks and named entities in a unified structure - Reduces reliance on complex semantic understanding - Creates rich semantic networks for precise information retrieval Lightweight Topology-Enhanced Retrieval - Leverages graph structures for efficient knowledge discovery - Uses pattern matching and localized text processing - Implements query-guided reasoning path discovery Impressive Performance Metrics - Achieves comparable results to LLM-based methods while using Small Language Models (SLMs) - Requires only 25% of storage space compared to existing solutions - Maintains robust performance with accuracy reduction ranging from just 0.8% to 20% The researchers from Hong Kong University have also contributed a comprehensive benchmark dataset specifically designed for evaluating lightweight RAG systems under realistic on-device scenarios. This breakthrough opens new possibilities for: - Edge device AI applications - Privacy-sensitive implementations - Real-time processing systems - Resource-constrained environments The full implementation and datasets are available on GitHub: HKUDS/MiniRAG

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Chunte's activity

New activity in Chunte/flux-lora-Huggieverse 4 months ago

Fix metadata tag

#2 opened 4 months ago by

Add generated example

#1 opened 4 months ago by

New activity in Chunte/HFBA 6 months ago

What do you recommend for a small monochrome icon?

#2 opened 9 months ago by

New activity in dataautogpt3/PixArt-Sigma-900M 6 months ago

Social thumbnail suggestion

#2 opened 6 months ago by

New activity in merve/chameleon-7b 6 months ago

Social thumbnail proposal

#2 opened 6 months ago by

New activity in dev-mode-explorers/README 8 months ago

Add a banner

#9 opened 8 months ago by

New activity in Chunte/HFBA 12 months ago

Upload index.html

#1 opened 12 months ago by

New activity in huggingface/badges about 1 year ago

Delete dataset-on-hf-sm-1.svg

#28 opened about 1 year ago by

model-on-hf badge fix

#30 opened about 1 year ago by

model-on-hf-sm badge

#29 opened about 1 year ago by

Model/Dataset on HF README update

#27 opened about 1 year ago by

Upload 16 files

#26 opened about 1 year ago by

New activity in timqian/like-history about 1 year ago

Add a custom social thumbnail

#8 opened about 1 year ago by

New activity in huggingface/badges about 1 year ago

README Follow-me-on-HF update

#24 opened about 1 year ago by

Follow me on HF badges upload

#23 opened about 1 year ago by

New activity in huggingface/badges over 1 year ago

new subscribe to pro update

#21 opened over 1 year ago by

new subscribe to pro badges

#20 opened over 1 year ago by

New activity in openchat/openchat_8192 over 1 year ago

a fresh logo for your orgnization profile :)

#4 opened over 1 year ago by

New activity in huggingface/badges over 1 year ago

Upload 4 files

#18 opened over 1 year ago by

paper page readme update

#17 opened over 1 year ago by