NLP-Based Semantic Search & Recommendation Engine

Built a semantic search system using embeddings and transformer models.

1. Implemented sentence embeddings using BERT / SentenceTransformers
2. Designed vector search pipeline using FAISS / Pinecone
3. Developed Retrieval-Augmented Generation (RAG) pipelines
4. Optimized search latency with approximate nearest neighbor (ANN) indexing
5. Deployed scalable API for real-time query processing