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Cloud & Infrastructure
Google Cloud Blog·20d ago·5 min read
How to solve PostgreSQL multilingual full-text search limitations with AlloyDB AI
TL;DR
PostgreSQL struggles with full-text search in logographical languages due to whitespace-based tokenization. AlloyDB AI integrates Gemini's multilingual capabilities to enhance text parsing and indexing.
✦ Why It Matters
Engineers can implement AlloyDB AI Functions today to improve multilingual search capabilities in their PostgreSQL databases.
Key Takeaways
- Utilize AlloyDB AI for efficient multilingual text search.
- Implement in-database AI functions to reduce latency.
- Avoid external preprocessing to protect data integrity.
- Leverage hybrid search for improved search accuracy.
How It Works
AlloyDB AI integrates Gemini's AI models directly into PostgreSQL, allowing for intelligent word segmentation and stop-word removal within the database. This eliminates the need for external tools and enables efficient processing of large datasets through stored procedures that handle batch operations safely.