Multilingual Semantic Search and Virtual Assistants at Bosch Digital
Discover how Bosch Digital transformed its approach by implementing multilingual semantic search and developing fast, factual virtual assistants.

Why Is Multilingual Semantic Search Critical in Software Development?
In software development, mastering multilingual semantic search is becoming essential. Companies such as Bosch Digital lead the way, moving from cumbersome PDFs to sleek conversational assistants. This shift significantly improves user experience and simplifies information access.
What Does Multilingual Semantic Search Mean?
Multilingual semantic search enables search engines and apps to understand queries in multiple languages and the context of those queries. It uses natural language processing (NLP) and machine learning to provide relevant results, no matter the language.
- Enhanced User Experience: Allows users to interact in their language.
- Wider Reach: Helps businesses serve a global audience.
- Better Contextual Understanding: Increases search result accuracy.
How Are Conversational Assistants Changing the Game?
Bosch Digital's move from static PDFs to dynamic conversational assistants marks a significant shift. While PDFs can be hard to navigate, conversational assistants offer instant, context-sensitive responses. Here's how to build one with React and Next.js.
Building a Conversational Assistant with Next.js and React
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