Web App
Sentio+ is an AI-powered decision-support platform that transforms large-scale, unstructured customer review data into actionable business insights using a Retrieval-Augmented Generation (RAG) architecture. Designed as an internal intelligence tool for Product, CX, Strategy, and Leadership teams, it enables aspect-level reasoning over customer feedback, grounding every insight in real review evidence.
Purpose
Serves as a centralized "Customer Intelligence Platform" for organizations managing large volumes of customer feedback. Unlike systems that rely solely on manual tagging and keyword search, Sentio+ uses RAG to enable semantic search and natural language queries across all reviews. It helps teams navigate complex feedback portfolios, track sentiment trends, and extract insights from historical reviews.
Key Features
AI-Powered Semantic Search
Semantic search across all reviews using vector embeddings, enabling natural language queries that understand context and meaning.
Conversational Q&A
Chat interface powered by LangGraph agents that can answer questions about reviews with citations to source documents.
Automated Document Processing
Text extraction and cleaning from CSV datasets, intelligent chunking for optimal retrieval, and metadata enrichment.
Aspect-Level Sentiment
Identifies specific product aspects driving sentiment, tracks trends across time and categories with evidence-grounded insights.
Metadata-Aware Retrieval
Filter by app name, category, rating, date range with LLM-powered source selection for focused queries.
Vector Store Flexibility
Persistent local ChromaDB for development, HTTP client for distributed deployments, and ChromaDB Cloud for production.
Business Intelligence
Collection statistics, trend detection across time periods, category and rating-based analysis, and export-ready insights.
Multi-Interface Access
Next.js web application for production, Streamlit demo for testing, and RESTful API for programmatic access.
Tech Stack