
TextTalk
AI-powered PDF interaction platform using LangChain and Vercel AI SDK for natural language document queries and data integration
Timeline
2025
Role
Full Stack Developer
Status
CompletedTechnology Stack
TextTalk - AI-Powered PDF Chat
An innovative platform that allows users to interact with PDF documents using natural language queries powered by AI.
Core Functionality
TextTalk transforms how users interact with documents:
- Upload PDFs: Simple drag-and-drop interface
- Ask Questions: Natural language queries about document content
- Get Instant Answers: AI-powered responses with context
- Citation Support: References to specific document sections
- Multi-document Support: Query across multiple PDFs
AI Integration
Leveraging cutting-edge AI technologies:
- LangChain: For document processing and retrieval
- Vercel AI SDK: For data integration and streaming AI responses
- Vector Embeddings: For semantic search
- Context-Aware Responses: Accurate answers based on document content
Technical Implementation
Built with modern technologies:
- Next.js for the application framework
- Prisma for database management
- Clerk for user authentication
- TypeScript for type safety
- shadcn/ui for the interface
Use Cases
Perfect for:
- Research and academic work
- Legal document analysis
- Business report review
- Technical documentation queries
- Study and learning
Challenges Overcome
- Efficient PDF parsing and text extraction
- Optimizing vector search performance
- Managing large document processing
- Ensuring accurate AI responses