Personal AI Assistant with RAG

ShareDat wanted to create a personal AI platform capable of bringing information from different services into a single intelligent workspace. Users stored valuable information across email accounts, cloud drives, documents, and financial platforms. But there was no simple way to search across those sources or gain meaningful insights from the data.

The goal was to build a system that could connect these platforms, understand user information, and provide useful answers. These answers are based on personal data rather than public internet content.

Most personal information lives in separate systems.

Documents are stored in cloud drives. Important conversations are buried in email threads. Financial information exists on banking platforms. Each source contains valuable context, but users must manually search through multiple applications to find what they need.

Key Issues

• Connecting multiple third-party platforms securely.
• Aggregating structured and unstructured information.
• Making documents searchable through natural language.
• Providing context-aware answers from user-owned data.
• Creating a single view of information spread across multiple services.

The client needed an intelligent system that could transform fragmented information into a connected knowledge base.

A personal AI knowledge platform was developed using a Retrieval-Augmented Generation (RAG) architecture and a centralized knowledge graph. 

Personal Knowledge Platform 

The application connects to external services through OAuth and API integrations, allowing information from cloud storage, email accounts, and financial platforms to be consolidated into a unified knowledge layer. 

A Retrieval-Augmented Generation (RAG) architecture was implemented to enable users to search their information using natural language. Document intelligence workflows classify files, extract key information, and improve content discoverability. 

The platform was built using FastAPI, React, Supabase, Vercel, and Google Cloud Platform to provide a scalable and responsive user experience. 

Key Deliverables 

• Built a personal AI knowledge graph platform. 
• Implemented Retrieval-Augmented Generation (RAG) workflows. 
• Connected external services using OAuth and API integrations. 
• Developed document classification and information extraction pipelines. 
• Created AI-powered search across connected data sources. 
• Built a unified dashboard for managing personal information. 
• Deploy the solution using Supabase, Vercel, and Google Cloud Platform.

Connected Data Ecosystem 

Integrated information from multiple external platforms into a single searchable environment. 

Context-Aware Knowledge Retrieval 

Enabled users to ask natural language questions and receive answers grounded in their own data. 

Intelligent Document Processing 

Automatically classified documents extract important information and improve content discoverability. 

Unified Information Access 

Eliminated the need to search across multiple applications by centralizing personal knowledge into one platform.