Automated workflow

How it works

1. 1.Trigger the workflow when a new file is detected in the local directory
2. 2.Load and preprocess documents by splitting text into meaningful chunks
3. 3.Generate embeddings using Mistral Cloud and store them in Qdrant vector store
4. 4.Retrieve relevant text segments from the vector database based on query similarity
5. 5.Generate responses using Mistral Chat model with formatted output

Use cases

• Automate analysis of large documents and answer questions about their content
• Build an intelligent information retrieval system for local file-based knowledge bases

Requirements

• Access to Mistral Cloud API for embeddings and language model inference
• Configured Qdrant vector database instance for semantic search

Service Value

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