:rocket: New Blog Post Alert! :rocket: After buil...
# 07-self-promotion
s
šŸš€ New Blog Post Alert! šŸš€ After building the transcription process in the first part of my series, I'm excited to share the next step in "Semantic Search to Glean Valuable Insights from Podcasts: Part 2." In this post, I walk you through the embedding of my podcast transcripts and efficiently storing them in ApertureDB. This step is crucial for enhancing search capabilities and ensuring our data is well-organized and ready for semantic querying. Dataset: Podcast transcripts (.txt) Embedding model: Cohere’s embed-english-v3.0 Metadata, embeddings, text storage: ApertureDB from ApertureData
šŸ‘€ 2