Skip to content

flowchart.md

Latest commit

 

History

History
237 lines (196 loc) · 4.72 KB

flowchart.md

File metadata and controls

237 lines (196 loc) · 4.72 KB

M.A.D.H.A.V.A. Application Workflow

System Architecture Overview

graph TB
    subgraph Frontend
        UI[User Interface]
        QI[Query Interface]
        DS[Domain Selection]
    end

    subgraph Backend Services
        API[FastAPI Gateway]
        ES[Embedding Store]
        GS[Gemini Service]
        ME[Metrics Extractor]
        AM[Alert Manager]
    end

    subgraph Databases
        MongoDB[(MongoDB)]
        Redis[(Redis Cache)]
        VS[Vector Store]
    end

    UI --> QI
    QI --> API
    DS --> QI
    API --> ES
    API --> GS
    API --> ME
    API --> AM
    ES --> VS
    ME --> MongoDB
    AM --> Redis
Loading

Detailed Workflow

1. User Interaction Flow

sequenceDiagram
    participant User
    participant UI as Frontend UI
    participant API as Backend API
    participant GS as Gemini Service
    participant ES as Embedding Store

    User->>UI: Select Domain
    User->>UI: Enter Query
    UI->>API: POST /query
    API->>ES: Get Relevant Context
    ES->>API: Return Context
    API->>GS: Generate Response
    GS->>API: Return AI Response
    API->>UI: Complete Response
    UI->>User: Display Results
Loading

2. Domain-Specific Processing

graph LR
    subgraph Domains
        F[Finance]
        H[Healthcare]
        L[Legal]
        C[Code Assistant]
        N[News]
        E[E-commerce]
    end

    subgraph Processing
        VC[Vector Context]
        MA[Metrics Analysis]
        DR[Domain Rules]
        IG[Insight Generation]
    end

    F --> VC & MA & DR & IG
    H --> VC & MA & DR & IG
    L --> VC & MA & DR & IG
    C --> VC & MA & DR & IG
    N --> VC & MA & DR & IG
    E --> VC & MA & DR & IG
Loading

Component Details

1. Frontend Components

  • User Interface
    • Domain selection cards
    • Query interface
    • Response display
    • Insights section
    • Metrics visualization

2. Backend Services

  • FastAPI Gateway

    • Route handling
    • Request validation
    • Response formatting
    • Error handling
    • CORS management

  • Embedding Store

    • Vector similarity search
    • Context retrieval
    • Domain-specific embeddings
    • Metadata filtering

  • Gemini Service

    • Query processing
    • Context integration
    • Response generation
    • Domain-specific insights

  • Metrics Extractor

    • Data analysis
    • Pattern recognition
    • Statistical processing
    • Trend identification

  • Alert Manager

    • Real-time notifications
    • WebSocket connections
    • Alert history
    • Severity management

3. Data Flow

flowchart TD
    A[User Query] --> B{Domain Router}
    B --> C[Context Retrieval]
    B --> D[Metrics Analysis]
    C --> E[Vector Search]
    D --> F[Pattern Recognition]
    E --> G[Context Integration]
    F --> G
    G --> H[Gemini Processing]
    H --> I[Response Generation]
    I --> J[Insight Extraction]
    J --> K[Final Response]
Loading

4. Database Architecture

graph TB
    subgraph Vector Store
        E1[Domain Embeddings]
        E2[Document Vectors]
        E3[Metadata Index]
    end

    subgraph MongoDB
        M1[User Data]
        M2[Query History]
        M3[Analytics]
    end

    subgraph Redis
        R1[Cache]
        R2[Real-time Events]
        R3[Session Data]
    end

    E1 --> E2 --> E3
    M1 --> M2 --> M3
    R1 --> R2 --> R3
Loading

Key Features

1. Domain-Specific Processing

  • Finance: Market analysis, investment insights
  • Healthcare: Medical research, clinical analysis
  • Legal: Case analysis, compliance
  • Code Assistant: AI debugging, code review
  • News: Trend analysis, real-time updates
  • E-commerce: Market trends, consumer behavior

2. RAG Implementation

graph LR
    Q[Query] --> E[Embedding]
    E --> S[Similarity Search]
    S --> C[Context Retrieval]
    C --> G[Gemini Processing]
    G --> R[Response]
    R --> I[Insights]
Loading

3. Performance Optimization

graph TD
    subgraph Caching Strategy
        RC[Redis Cache]
        VB[Vector Batching]
        PP[Parallel Processing]
    end

    subgraph Query Optimization
        QR[Query Reformulation]
        CF[Context Filtering]
        RM[Relevance Matching]
    end

    RC --> VB --> PP
    QR --> CF --> RM
Loading

Error Handling and Monitoring

graph TB
    E[Error Detection] --> C{Classification}
    C --> V[Validation Errors]
    C --> P[Processing Errors]
    C --> S[System Errors]
    V --> H[Handler]
    P --> H
    S --> H
    H --> R[Response]
    H --> L[Logging]
    H --> M[Monitoring]
Loading

This flowchart provides a comprehensive overview of the M.A.D.H.A.V.A. application's architecture, components, and data flow. Each section details the specific responsibilities and interactions within the system, making it easier to understand the complete workflow of the RAG implementation.