Case Study
ML-Powered Search
Semantic search with LLM reranking for enterprise knowledge bases.
Approach
Built search pipeline with vector embeddings, hybrid retrieval, and guardrails; integrated data privacy with row-level security.
Outcomes
- +22% relevance
- Fewer false positives
- Happier users
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