Automated workflow

How it works

1. 1.Trigger the workflow when a local file is received or a manual request is initiated by the user
2. 2.Read and parse the document, then split it into manageable text segments using recursive character splitting
3. 3.Convert text segments into vector embeddings using Mistral Cloud embeddings service
4. 4.Store the vectors in Qdrant database for efficient retrieval and similarity matching
5. 5.Process user queries through the chat interface and route them to the LLM chain
6. 6.Retrieve relevant documents from the vector store and generate accurate responses using LM Chat Mistral

Use cases

• Question-answering system for internal documents, policies, and knowledge bases
• Automated processing of invoices, contracts, and reports with key information extraction
• Context-aware search engine for organizational files and documentation

Requirements

• Mistral Cloud credentials for embeddings and chat model access
• Qdrant vector database server running and configured
• Local file system read-write permissions and access to file storage

Service Value

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