Semantic Search in Podcasts Transcriptions
I built a podcast search engine that performs a semantic search within thousands of podcasts transcriptions. Technologies used are: OpenAI Whisper for transcriptions, BERT embeddings and FAISS as a vector database
In plain words
Semantic Search in Podcasts Transcriptions is a search engine that indexes and searches across thousands of podcast transcriptions using semantic understanding rather than keyword matching. It uses OpenAI Whisper to transcribe podcasts, BERT embeddings to understand meaning, and FAISS as its vector database. The tool is designed for developers and podcast enthusiasts who need to find relevant content based on topic and context rather than exact word matches.
written from the facts on this page · September 2026
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