Using Weaviate with Non-English Languages — limitations and considerations
AI Impact Summary
Weaviate’s current capabilities for non-English languages are limited, primarily due to a lack of official support for non-alphabetic languages and the reliance on the standard English tokenizer for BM25 search. This impacts keyword search accuracy and hybrid search functionality, resulting in errors or inaccurate results for languages like Japanese, Chinese, or Hindi. The inability to handle Unicode encoding effectively further restricts the database’s ability to process and index text data from these languages, necessitating careful selection of compatible embedding models and LLMs.
Affected Systems
Business Impact
Organizations relying on Weaviate for multilingual semantic search or generative AI applications will experience reduced accuracy and functionality when working with non-English languages, potentially impacting the quality of search results and the performance of AI-powered applications.
- Date
- Date not specified
- Change type
- capability
- Severity
- info