HelloFresh recipe recommendation engine with vector search chat agent

How it works

1. 1.Load documents and split them into processable text chunks using recursive character splitting
2. 2.Convert text segments into numerical vectors using Mistral embeddings
3. 3.Store vectors in Qdrant vector database for efficient semantic search
4. 4.Receive user inquiries through chat interface and pass them to the intelligent agent
5. 5.Extract relevant context from vectors and deliver accurate answers to the user

Use cases

• Customer support system that answers questions from internal knowledge bases
• Intelligent search engine that understands user intent and provides accurate responses
• Specialized virtual assistant handling multi-domain queries efficiently

Requirements

• Valid API key for Mistral Cloud embeddings and language model
• Configured Qdrant vector database instance with active connection
• Text documents prepared for upload (PDF, Word, plain text formats)
• Chat Trigger configured for user communication interface

Service Value

Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.