# Semantic search for Tutorbridge

> Meaning-based search across 200,000 documents with filters and permissions.

URL: https://freelance.adscaled.media/freelancers/rahul-mehta/work/semantic-search-for-tutorbridge

Meaning-based search across 200,000 documents with filters and permissions. A case study by Rahul Mehta, Machine Learning Engineer (LLMs & RAG).

## Challenge

Users of Tutorbridge, a tutoring marketplace, could not find documents unless they remembered exact titles. Keyword search returned too much noise.

## Solution

I added hybrid search combining embeddings and BM25, permission-aware filtering, query understanding for dates and authors, and an evaluation harness to tune ranking.

[View Rahul Mehta’s profile](https://freelance.adscaled.media/freelancers/rahul-mehta)

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