Alpaca - Hotel Quality Recommendations
A comprehensive Go microservice that fetches, consolidates, and analyzes hotel data from multiple sources. Features multi-source data aggregation, Retrieval Augmented Generation based recommendation engine with cutting edge LLMs. Status: In active development. URL: Not yet public. Architecture Alpaca is a microservice and utility suite that: Fetches hotel data from multiple sources (Amadeus, Expedia, Tripadvisor, Google, Booking.com) Consolidates hotel data into a unified schema Crawls reviews from multiple sources (Tripadvisor, Google, Expedia, Booking, hotel websites, etc.) Vectorizes reviews and hotel data into RAG capable vector database. Uses LLM (GPT-4, Claude, Grok) to analyze reviews for Quality and Quiet Generates intelligent recommendations based on review analysis Stores data in SQLite (default) with raw SQL Uses a generalized provider interface for easy API integration Processes data in concurrent batches with rate limiting Github Repo ...