Triepod.ai Knowledge Base Platform
RAG system with vector database integration for semantic document search and AI-powered insights
The system features semantic search capabilities, Hugging Face model integration, and comprehensive document analysis with chunking, embedding generation, and intelligent tagging. Built for efficient knowledge discovery and AI-powered document insights.
Key Metrics
Features
Hybrid Vector Database
Combines PostgreSQL for structured data with Pinecone for high-performance vector search and semantic similarity matching.
Advanced Document Processing
Intelligent chunking with heading structure analysis, semantic tag extraction, and multi-language support.
Real-time Search & RAG
Lightning-fast semantic search with retrieval-augmented generation for contextual AI responses.
Hugging Face Integration
Direct API integration with Hugging Face Spaces for text generation, summarization, and image processing.
Secure API Management
API token management, rate limiting, and comprehensive logging for secure operations.
Intelligent Analytics
Token counting, processing metrics, and detailed analytics for cost optimization and performance insights.