DocuSage

1. Information Overload Management: Automatically analyze and extract key information from vast amounts of documents including research papers, textbooks, and articles.
2. Simplified Citations: Provide easy-to-refer sources for seamless citation management.
3. Interactive Exploration: Allow for dynamic and multidimensional exploration of documents to uncover deeper insights.
4. Efficient Research Workflow: Integrate document analysis, data extraction, and question generation into a streamlined workflow.

Tech Stack

• Frontend:
  • Next.js
  • TypeScript
  • TailwindCSS
• Backend:
  • Langchain
  • Vercel AI SDK
• Database:
  • Pinecone Vector Database
  • Supabase PostgreSQL
• LLM Provider:
  • OpenAI

Getting Started

Prerequisites

Ensure you have the following installed:

• Node.js (v14 or higher)

Usage

• Scenario: Upload PDFs, documents, and CSVs for analysis.
• AI Analysis: Extract key findings and answer research questions using Langchain and OpenAI.
• Effortless Research: Save time by automating document analysis and providing the right citations.

Approach

• Conversational UI (Next.js): User-friendly chat interface.
• Document Analysis (Langchain/OpenAI): Extract insights with NLP.
• Scalable Backend (Node.js/Vercel): Process requests and handle NLP tasks.
• Data Management (Supabase): Store chats, extracted information and uploaded files.