WikiWe

LightRAG Demo

2 min read

Mermaid Diagram

flowchart TB
    subgraph Input
        D[Document Collection]
        Q[User Query]
    end

    subgraph "Graph-based Text Indexing"
        direction TB
        E["Entity & Relation Extraction
        (LLM-based)"]
        P["LLM Profiling
        Generate key-value pairs"]
        DD["Deduplication
        Merge identical entities"]
        
        E --> P
        P --> DD
    end

    subgraph "Knowledge Graph Construction"
        direction TB
        N["Nodes
        (Entities)"]
        R["Edges
        (Relations)"]
        KV["Key-Value Store"]
        
        N --- R
        N --> KV
        R --> KV
    end

    subgraph "Dual-level Retrieval"
        direction TB
        LL["Low-level Retrieval
        Entity-specific info"]
        HL["High-level Retrieval
        Global themes"]
        KE["Keyword Extraction
        (LLM-based)"]
        VM["Vector Matching"]
        
        KE --> LL & HL
        LL & HL --> VM
    end

    subgraph "Answer Generation"
        direction TB
        C["Context Integration"]
        G["LLM Generation"]
        A["Final Answer"]
        
        C --> G
        G --> A
    end

    D --> E
    DD --> N
    DD --> R
    Q --> KE
    VM --> C

    classDef process fill:#f9f,stroke:#333,stroke-width:2px
    classDef storage fill:#bbf,stroke:#333,stroke-width:2px
    classDef input fill:#bfb,stroke:#333,stroke-width:2px
    classDef output fill:#fbb,stroke:#333,stroke-width:2px
    
    class D,Q input
    class N,R,KV storage
    class E,P,DD,KE,VM process
    class A output

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Research Sources

AVI-0-1-2 PUNTED

AVI-0-1-1 RELEASED

How it works

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  • Chat with your Knowledge

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LitRag Roadmap

DDE242mL: https://lightrag.streamlit.app/

FZt5QKrR: https://www.youtube.com/watch?v=PF5NCnBtZsA

hpEsBDTw: https://www.youtube.com/watch?v=oageL-1I0GE&t=1s

5qryyaxA: https://www.youtube.com/watch?v=g21royNJ4fw

dQb23H3b: https://arxiv.org/pdf/2306.08302

fJTKrAOQ: https://arxiv.org/pdf/2410.05779

7fU7BZis: Mermaid Diagram

OL2znQrU: https://www.anthropic.com/news/contextual-retrieval

NbH3BZCQ: LitRAG

Embedded Files

562b48423af391592510ca9dcac43f175410790a: [[CleanShot 2024-10-22 at 09.53.04@2x.png]]

be0f88aa235f8d296b231391c8357493b1738710: [[CleanShot 2024-10-25 at 12.29.13@2x.png]]

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