AI Backend

Chat with your Device

Proof of concept for an AI assistant for querying user manuals of medical devices with source references.

Duration 2025
Chat with your Device interface

About the Project

Technicians on-site at medical and operational equipment often face the challenge of quickly finding relevant information from extensive user manuals. Manually searching through documentation costs time and is error-prone.

The Concept

The concept of this proof of concept: A chat interface through which technicians simply enter the device type and receive relevant information about the device – without manual document search. In addition to internal documentation, a web search is offered to also include external information sources.

Technical Implementation

The technical implementation is based on LangChain as an agent framework. A dataset of approximately 6,000 documents – primarily user manuals – was embedded and stored in a Milvus Vector Database. The agent orchestrates various tools: Semantic Search on the embeddings, web search for supplementary information and database queries.

Source Referencing

A central feature is the consistent source referencing: Every answer contains references that should be verified – for example, links to the user manual including page number or links to external websites. This ensures that technicians can verify the information before taking action.

Highlights

  • Chat interface for intuitive device queries
  • Semantic search over 6,000+ embedded documents
  • LangChain agent with tool integration
  • Consistent source references with links and page numbers

Challenges

Embedding and indexing large document volumes. Precise source references in semantic search.

Results

Functional proof of concept for chat-based document access. Validation of the concept for technician daily work.

Interested?

Are you interested in a similar project or want to learn more? Get in touch – we look forward to hearing from you!

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