Similarity Agent
Similarity Agent: Intelligent content retrieval, precisely matched.
Publisher
Capgemini Technologies
Industry Type
Manufacturing
Product Details
This agent generates an embedding from a standardized user query, applies optional metadata filters such as aircraft type or system, and performs a vector similarity search in the Vertex AI index. It stores the top search results in session state for further use. This retrieves the most relevant reusable content quickly and precisely.
It addresses a problem at Airbus, where content creators waste up to 1 hour per document searching for reusable materials, which is 20% of their productive time. For every 5 content creators, it is as if 1 full-time employee does nothing but search. The agent is built for Airbus content creators in manufacturing and can save up to 1 hour per document per creator.
Key Use Cases
Aeronautical Engineering Content Retrieval
Executes vector similarity searches within Vertex AI using metadata filters to retrieve reusable engineering specifications and aircraft maintenance procedures.
Technical Documentation Reusability
Enables manufacturing technical writers to locate existing certified document sections instantly, saving significant authoring time per manual.
Explore detailed deployment path
Requires Gemini. Access integration prerequisites, specialized agent configuration guides, and implementation documentation.