Semantic Search for YouTube Videos using Ollama nomic-embed-text and Link to Video Location
Автор: AI Agents by BUSINESS24 AI
Загружено: 2024-03-23
Просмотров: 980
Описание:
In this project, we transcribe a YouTube video using OpenAI's Whisper, use Ollama nomic-embed-text, and use cosine similarity to perform a semantic search on the Video, and link to the video location.
00:58 - Ollama pull nomic-embed-text
03:37 - Use the Whisper base model to transcribe the YouTube audio
05:20 - Use Ollama nomic-embed-text to embed the YouTube transcript
05:35 - Apply lambda embed function to all rows of the dataframe
07:09 - Embed the search term using embed_query of OllamaEmbeddings
07:45 - Apply cosine similarity to all rows of the dataframe
08:08 - Sort the dataframe base on the cosine similarity descending
09:15 - Jump to the Video Location of the YouTube semantic search result
Github:
https://github.com/business24ai/yt_re...
YouTube:
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The Swedish Investor
/ @theswedishinvestor
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