Vector Search-Powered AI Chatbot
Integrated with Europace, Baufinex, and Starpool to deliver intelligent customer support using advanced AI models, vector search, and multilingual capabilities for accurate, context-aware responses.
The Challenge
Building an intelligent customer support chatbot that provides accurate, contextual answers based on a comprehensive knowledge base with fast response times.
Knowledge Base Construction
Scraping and processing hundreds of articles from Europace Help Center, generating high-quality embeddings, and building a searchable vector index.
Fast Semantic Search
Implementing fast vector similarity search to find relevant articles from user questions in milliseconds.
Multilingual Support
Handling questions and responses in multiple languages (German, English, Turkish) with accurate context understanding.
Context-Aware Conversations
Maintaining conversation context for follow-up questions and ensuring responses are based only on the knowledge base.
Our Solution
We developed a comprehensive chatbot system with three main components: a scraper that fetches articles from Europace Help Center and stores them in MongoDB, an embedder that generates AI embeddings and builds a FAISS L2 index for fast similarity search, and a Flask API that processes user questions. The system uses FAISS vector search to find top 3 most similar articles, falls back to MongoDB keyword search when needed, maintains conversation context for follow-up questions, and uses advanced AI models with carefully crafted prompts to generate accurate, multilingual responses.
Vector Search
FAISS L2 index for fast similarity search to find top 3 most relevant articles in milliseconds.
AI-Powered Responses
Advanced AI models with carefully crafted prompts to generate accurate, context-aware responses.
Knowledge Base
MongoDB storage with article scraping from Europace Help Center and keyword search fallback.
Multilingual Support
Comprehensive multilingual support for questions and responses in German, English, and Turkish.
Vector Search Excellence
Advanced vector similarity search for lightning-fast knowledge retrieval.
FAISS Vector Search
Lightning-fast similarity search using Facebook AI Similarity Search (FAISS) for instant knowledge retrieval.
FAISS L2 distance index
1536-dimensional embeddings
Top 3 most similar articles retrieval
Millisecond response times
Efficient index loading and management
Scalable vector search architecture
AI-Powered Embeddings
Advanced AI embeddings for semantic understanding and intelligent article matching.
1536-dimensional embeddings
Semantic similarity matching
Question embedding generation
Article embedding generation
Context-aware embeddings
Multilingual embedding support
Knowledge Base Management
Comprehensive knowledge base with MongoDB storage and intelligent fallback mechanisms.
MongoDB Knowledge Base
Comprehensive knowledge base storage with MongoDB for article management and retrieval.
MongoDB article storage
Article scraping from Europace Help Center
Title, URL, and content indexing
Keyword search fallback
Knowledge base updates
Article versioning support
Intelligent Fallback
MongoDB keyword search fallback when vector search returns no results.
Keyword extraction from questions
Stopword removal
MongoDB text search
Up to 5 matching articles
Flexible search strategies
Comprehensive coverage
Multilingual & Context-Aware Support
Comprehensive multilingual support with intelligent conversation context management.
Multilingual Support
Comprehensive multilingual support for questions and responses in multiple languages.
German language support
English language support
Turkish language support
Automatic language detection
Language-specific responses
Cultural adaptation
Context-Aware Conversations
Intelligent follow-up question handling with conversation context maintenance.
Follow-up question detection (≤3 words)
Last topic context storage
Contextual question combination
Conversation history support
Context-aware responses
Natural conversation flow
Impact & Results
The AI Chatbot delivers 24/7 customer support with multilingual capabilities and millisecond response times.
00/7
Customer support availability
0
Languages supported
000+
Knowledge base articles
Milliseconds
Vector search response time
Technology Stack
We leveraged modern AI technologies and Python frameworks to build a scalable, fast, and intelligent chatbot service.
Python
Flask
FAISS
MongoDB
AI Models
Gunicorn