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AIACTIVE DEVELOPMENT

GDrive Agent

SOURCE CODELIVE DEMO
GDrive Agent cover

// THE PROBLEM

What challenge did this address?

Teams waste countless hours daily digging through deep nested Google Drive folders searching for spec sheets, historical designs, or client contracts. Keyword search returns hundreds of irrelevant files, forcing users to open each document manually to extract simple answers.

// THE SOLUTION

How was it engineered?

GDrive Agent crawls and syncs Google Drive documents, generating embeddings stored in a high-speed vector database. Using a LangChain-powered conversational agent, users can ask complex questions and receive precise answers with verified document citations directly in a chat console.

// TECH STACK

Next.js
LangChain
Google Drive API
Vector DB

// KEY FEATURES

Core Implementation Details

  • ↳Real-time Google Drive API webhook syncing and change detection
  • ↳Semantic chunking and vector embeddings generation pipeline
  • ↳Conversational memory framework capable of maintaining multi-turn context
  • ↳Direct link citations to source files mapping the exact page and paragraph

// SYSTEM OUTCOMES

Verifiable Performance Metrics

  • ✓Reduced internal information retrieval time by over 90%
  • ✓Helped teams extract contract metrics and spec parameters in seconds instead of hours
  • ✓Seamlessly indexed and searched across 10,000+ files including PDFs, Slides, and Docs