GraphRAG Assistant: End-to-End Proposal Using Mem0 Graph Memory

1. Executive Summary

This proposal outlines a comprehensive system for building a contextual AI assistant that analyzes screen content in real-time and answers complex questions about the user's digital environment. The system leverages Mem0's Graph Memory technology combined with GraphRAG to understand relationships between entities and provide contextually relevant answers that traditional RAG systems cannot.

Mem0 is an intelligent memory service designed to enhance AI assistants and agents by remembering user preferences, adapting to personal needs, and continuously improving to provide personalized AI interactions. It employs a hybrid database approach, combining vector, key-value, and graph databases for efficient memory storage and retrieval.

Key capabilities include:

• Answering questions about team structures and relationships
• Identifying unanswered messages and generating reply drafts
• Tracking pending tasks like PR reviews
• Maintaining contextual awareness across applications and time

2. System Architecture

2.1 High-Level Architecture

┌─────────────────┐     ┌──────────────────┐     ┌───────────────────┐     ┌─────────────────┐
│                 │     │                  │     │                   │     │                 │
│  Client Device  │────▶│  Ingestion API   │────▶│  Processing Layer │────▶│  Mem0 Memory    │
│                 │     │                  │     │                   │     │  Layer          │
└─────────────────┘     └──────────────────┘     └───────────────────┘     └─────────────────┘
                                                         │                          ▲
                                                         │                          │
                                                         ▼                          │
┌─────────────────┐     ┌──────────────────┐     ┌───────────────────┐             │
│                 │     │                  │     │                   │             │
│  User Interface │◀────│  Response Layer  │◀────│  Query Processor  │◀────────────┘
│                 │     │                  │     │                   │
└─────────────────┘     └──────────────────┘     └───────────────────┘

2.2 Component Details

2.2.1 Ingestion Pipeline

┌──────────────┐    ┌───────────────┐    ┌───────────────┐    ┌───────────────┐
│              │    │               │    │               │    │               │
│ Screen       │───▶│ Content       │───▶│ Entity        │───▶│ Relationship  │
│ Capture      │    │ Parser        │    │ Extraction    │    │ Mapping       │
│              │    │               │    │               │    │               │
└──────────────┘    └───────────────┘    └───────────────┘    └───────────────┘
                                                                      │
                                                                      ▼
┌──────────────┐    ┌───────────────┐    ┌───────────────┐    ┌───────────────┐
│              │    │               │    │               │    │               │
│ Mem0         │◀───│ Graph Memory  │◀───│ Vector        │◀───│ Semantic      │
│ Integration  │    │ Storage       │    │ Embedding     │    │ Analysis      │
│              │    │               │    │               │    │               │
└──────────────┘    └───────────────┘    └───────────────┘    └───────────────┘

3. Detailed Component Specifications

3.1 Mem0 Integration Layer

3.1.1 Mem0 Graph Memory

Purpose: Leverages Mem0's Graph Memory to store and retrieve complex entity relationships from screen content.

Implementation: