This session presents a pragmatic approach to building a scalable, cost-efficient search enrichment system using sharded SQLite databases and Wikidata. We’ll examine

1. Key architectural decisions
2. Trade-offs involved in balancing performance, resource constraints, and cost
3. Implementation strategies that improved search relevance while supporting high concurrency

Attendees will learn why SQLite emerged as the optimal choice over traditional graph databases like Blazegraph or Virtuoso, particularly for read-heavy search workloads. The discussion will cover disk-based data structuring for rapid retrieval, language-specific sharding techniques to accelerate imports, and practical methods for integrating Knowledge Graphs to deliver richer search results. Finally, we’ll explore how this architecture balances scalability and simplicity, enabling teams to deploy context-aware search experiences without the overhead of complex graph database infrastructure.