Features That Make
Work Effortless
Discover how DocsVibe revolutionizes document management with cutting-edge AI technology, intelligent automation, and seamless collaboration tools.
Core Capabilities
File processing, vector search, and intelligent model routing
Multi-Format Support
Upload and analyze PDF, DOCX, and PPTX files. Extract text, tables, and metadata automatically with intelligent parsing.
128K Token Context
Process entire research papers in one go. DeepSeek models handle up to 128,000 tokens - perfect for 40+ page documents.
Vector Search Engine
ChromaDB-powered semantic search finds relevant passages based on meaning, not just keywords. Lightning-fast retrieval.
Conversation Memory
AI remembers your entire chat history per document. Ask follow-up questions naturally without repeating context.
Smart Text Extraction
PyPDF2, python-docx, and python-pptx libraries extract clean text while preserving document structure and formatting.
Model Routing
Intelligent router selects the best AI model for your task - DeepSeek for PDFs, GPT for code, Qwen for reasoning.
AI-Powered Intelligence
Multi-model architecture with intelligent routing and vector search
Multi-Model Architecture
20+ AI models for different tasks
- DeepSeek V3 (128K context) - PDF analysis with native upload
- GPT-4o Mini - Premier coding and technical documentation
- Qwen 2.5 72B - Complex reasoning and detailed explanations
- Llama 3.3 70B - Lightning-fast general conversation
Advanced File Routing
Intelligent model selection engine
- Analyzes file type, size, and content complexity
- Routes to optimal model based on task requirements
- Fuzzy matching for natural model selection
- File validation with smart suggestions
Document Processing
Multi-format text extraction pipeline
- PDF: PyPDF2 with 50MB size limit per file
- DOCX: python-docx with structure preservation
- PPTX: python-pptx for slide content extraction
- Up to 3 files simultaneously (DeepSeek models)
ChromaDB Vector Store
Persistent semantic search database
- Stores document embeddings for fast retrieval
- Cosine similarity search for relevant passages
- Automatic chunking for optimal context windows
- Conversation history with vector indexing
Technical Architecture
Modern tech stack with FastAPI, Next.js, and ChromaDB
FastAPI Backend
High-performance Python backend with async support. CORS-enabled API for seamless frontend integration.
Supabase Auth
College email validation with domain whitelist. Secure Google OAuth integration and session management.
SQLAlchemy ORM
PostgreSQL database with SQLAlchemy models. Stores conversations, PDFs, and user preferences persistently.
Next.js 14 Frontend
React 18 with App Router. TypeScript for type safety. Framer Motion animations and Tailwind CSS styling.
Real-time Updates
Streaming AI responses with chunked transfer. Live file upload progress. Instant conversation history sync.
Response Customization
Choose response style: Concise, Balanced, Detailed, Academic, or Casual. AI adapts to your preference.