B2B software company · 2025

LLM-Powered Semantic Search

Semantic search over a large content catalog using embeddings, improving relevance and discovery over keyword search.

Client

B2B software company

Role

Project Manager

Timeline

Jun 2025 – Oct 2025

Domain

AI / Search

Approach

Agile

Team size

5–9

Budget

Up to $250K

Objective

Deliver semantic search over a large content catalog, improving relevance and discovery beyond keyword matching.

What I did

• ▸ Defined search relevance goals and evaluation with stakeholders
• ▸ Coordinated embedding pipeline and index design with engineering
• ▸ Planned rollout and A/B evaluation
• ▸ Tracked relevance metrics and iterated
• ▸ Coordinated UI integration of search results

Key deliverables

• ▸ Embedding & indexing pipeline
• ▸ Semantic search API
• ▸ Relevance evaluation
• ▸ Search UI integration
• ▸ Production rollout

Outcome

Improved search relevance and content discovery compared to the previous keyword-based search.