Service
Search & NLP Pipelines
Multilingual search relevance, semantic search, and NLP pipelines for large content collections.
What to expect
We build search and NLP systems that can handle real-world content collections — multilingual, semantic, with measurable relevance. Ideal for portals, knowledge bases, and productive AI applications.
- Elastic, OpenSearch, and Vector Databases
- Semantic Search and Hybrid Ranking
- NLP Pipelines for Classification and Extraction
- Multilingualism and Domain Tuning
Selected technologies
Python
PyTorch
Hugging Face
OpenAISelected reference projects
All projectsLabor Market and Recruiting Industry
Search Relevance and Multilingual NLP Pipeline
For a digital recruiting platform, technical consulting and optimization of a search and ranking landscape were supported. The focus was on analyzers, relevance and scoring parameters, hybrid search approaches, and the integration of vector-based search. Additionally, multilingual NLP components and query understanding mechanisms for different regions were designed and integrated into the retrieval and ranking pipelines.
Learn moreReal Estate Industry
Centralized AI Services for Digital Real Estate Offerings
Existing AI-driven services for a digital real estate platform were expanded and integrated into a scalable, central service landscape. The scope of services included the further development of models for user intent and marketing evaluation, as well as services for automated text and speech processing. In addition to technical integration, the focus was on optimizing model deployment, operations, and maintenance, as well as reliable collaboration with interdisciplinary product teams.
Learn moreSounds like your project?
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