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TikTok Tech Jam – NLP Powered Search Function for Store

· One min read

This project, developed for a TikTok Tech Jam, is an NLP-powered search engine that improves search relevance and speed for an online store.

Key Achievements​

  • Built a search engine that reduced query processing time by 35%, handling up to 500 queries per second.
  • Optimized the embedding generation pipeline using OpenAI and LangChain, cutting CPU usage by 20%.
  • Improved metadata filtering efficiency with a Pinecone schema, reducing storage costs by 25% and increasing query matching accuracy by 10%.

Technologies Used: RAG, LLM Ops, MLOps, LangChain, Pinecone, Python.