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project 01 • 2024
Neural Search Engine
“Semantic search that actually understands context.”
the story
Built a semantic search engine that goes beyond keyword matching. Uses transformer embeddings to understand the intent behind queries, not just the words.
The system handles millions of documents with sub-100ms latency. We implemented a custom indexing strategy that balances accuracy with speed.
Key insight: Sometimes the best results aren't the most similar—they're the most useful.
started as a 'quick weekend project'... 3 months later here we are
tools I used
PythonFAISSTransformersFastAPIRedis
key insight:
“Sometimes the best results aren't the most similar—they're the most useful.”