Remove HippoRAG arxiv link to fix auto-detected paper
Browse files
README.md
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@@ -5,12 +5,9 @@ tags:
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- rag
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- flow-diffusion
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- graph-rag
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- multihop-qa
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- query-aware
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- retrieval-augmented-generation
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- iclr2026
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---
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# QAFD-RAG
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@@ -39,9 +36,9 @@ pip install -r requirements.txt
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# 2. Set your OpenAI API key (required for LLM and answer generation)
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export OPENAI_API_KEY="sk-..."
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# 3. KGs
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# 4. Run a benchmark
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# Note: First run for multihop will auto-download the nvidia/NV-Embed-v2
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@@ -61,7 +58,7 @@ QAFD-RAG supports two knowledge graph representations, both using the same Query
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| | **Entity Graph** | **Passage-Entity Graph** |
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|---|---|---|
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| **Nodes** | Entities + relationships | Entities + passages + facts
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| **Extraction** | LLM entity/relationship extraction | OpenIE (NER + triple extraction) |
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| **Edges** | Entity-entity relationships | Fact edges + passage edges + synonymy edges |
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| **QAFD traversal** | Flow reaches entities, passages looked up after | Flow reaches passages directly as graph nodes |
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- rag
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- flow-diffusion
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- graph-rag
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- iclr2026
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language:
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- en
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---
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# QAFD-RAG
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# 2. Set your OpenAI API key (required for LLM and answer generation)
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export OPENAI_API_KEY="sk-..."
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# 3. Download pre-built KGs (recommended — saves hours of build time + API costs)
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huggingface-cli download tarzanagh/QAFD-RAG --include "kg/multihop/*" --local-dir .
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huggingface-cli download tarzanagh/QAFD-RAG --include "kg/ultradomain/*" --local-dir .
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# 4. Run a benchmark
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# Note: First run for multihop will auto-download the nvidia/NV-Embed-v2
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| | **Entity Graph** | **Passage-Entity Graph** |
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|---|---|---|
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+
| **Nodes** | Entities + relationships | Entities + passages + facts |
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| **Extraction** | LLM entity/relationship extraction | OpenIE (NER + triple extraction) |
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| 63 |
| **Edges** | Entity-entity relationships | Fact edges + passage edges + synonymy edges |
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| 64 |
| **QAFD traversal** | Flow reaches entities, passages looked up after | Flow reaches passages directly as graph nodes |
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