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- # GraphRAG-Live
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-
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- **Hybrid Retrieval-Augmented Generation (RAG) with Graph + Vectors.**
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-
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- This project shows how knowledge graphs (Neo4j Aura) and vector databases (Qdrant) can be combined with re-ranking heuristics to build a smarter, cheaper and more explainable RAG system.
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-
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- ---
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-
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- ## 🌟 Features
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- - **Hybrid Retrieval:** Combines semantic search (Qdrant) with graph proximity scoring (Neo4j).
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- - **Dynamic Knowledge Injection:** Add new documents on the fly β†’ pipeline updates instantly.
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- - **Evidence Subgraphs:** Each answer includes a small 2-hop evidence graph.
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- - **Metrics Dashboard:** Compare GraphRAG vs. baseline RAG on hit@10, nDCG@10, citation correctness.
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- - **Hosted Demo:** Deployed via Hugging Face Spaces (Gradio UI).
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-
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- ---
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-
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- ## πŸ—οΈ Architecture
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-
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- ```text
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- User Question
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- β”‚
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- β–Ό
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- [Qdrant: semantic chunks] + [Neo4j: graph proximity]
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- β”‚
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- β–Ό
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- Reranker (cosine + path proximity + freshness + degree)
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- β”‚
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- β–Ό
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- Answer Generator (OpenAI)
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- β”‚
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- β–Ό
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- Evidence Subgraph + Answer + Citations
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ title: GraphRAG-Live
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+ emoji: πŸ“š
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+ colorFrom: blue
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+ colorTo: green
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+ sdk: gradio
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+ sdk_version: 4.44.0
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+ app_file: ui.py
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+ pinned: false
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+ license: mit
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+ ---
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+ # GraphRAG-Live
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+
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+ **Hybrid Retrieval-Augmented Generation (RAG) with Graph + Vectors.**
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+
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+ This project shows how knowledge graphs (Neo4j Aura) and vector databases (Qdrant) can be combined with re-ranking heuristics to build a smarter, cheaper and more explainable RAG system.
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+
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+ ---
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+
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+ ## 🌟 Features
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+ - **Hybrid Retrieval:** Combines semantic search (Qdrant) with graph proximity scoring (Neo4j).
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+ - **Dynamic Knowledge Injection:** Add new documents on the fly β†’ pipeline updates instantly.
23
+ - **Evidence Subgraphs:** Each answer includes a small 2-hop evidence graph.
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+ - **Metrics Dashboard:** Compare GraphRAG vs. baseline RAG on hit@10, nDCG@10, citation correctness.
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+ - **Hosted Demo:** Deployed via Hugging Face Spaces (Gradio UI).
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+
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+ ---
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+
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+ ## πŸ—οΈ Architecture
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+
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+ ```text
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+ User Question
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+ β”‚
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+ β–Ό
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+ [Qdrant: semantic chunks] + [Neo4j: graph proximity]
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+ β”‚
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+ β–Ό
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+ Reranker (cosine + path proximity + freshness + degree)
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+ β”‚
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+ β–Ό
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+ Answer Generator (OpenAI)
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+ β”‚
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+ β–Ό
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+ Evidence Subgraph + Answer + Citations