Chat with Documents using LLM revolutionizes information retrieval by using Large Language Models like GPT-3.5 to enable dynamic, conversational interactions with documents. This approach surpasses traditional keyword-based searches, allowing users to naturally extract insights, summaries, and specific information.

A DocsGPT using:

• Next.js 13 (App Router) in TypeScript
• Database
  • Drizzle ORM
  • Neon (Serverless PostgreSQL)
• AI-related
  • Pinecone (Vector Database)
  • Langchain
  • OpenAI SDK
  • Vercel AI SDK
• API schema validation: Zod
• Object Storage: AWS JavaScript SDK v2
• Payment: Stripe SDK
• Styling: Tailwind CSS
• Third-Party UI Components
  • React Dropzone
  • React Hot Toast
  • shadcn-ui
  • Lucide icons

1. Add a .env according to .env.example

mv .env.example .env

2. Install dependencies using pnpm

pnpm install
# start development server
pnpm run dev
# build for production
pnpm run build
# start production server
pnpm run start

• Arjun Kadam
• Simran Pathan
• Vaibhav Pandarkar
• Vaishnavi Raykar

• Prof. Swati Bhosale