• Stars
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    143
  • Rank 257,007 (Top 6 %)
  • Language
    TypeScript
  • Created almost 2 years ago
  • Updated almost 2 years ago

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Repository Details

Semantic search with openai's embeddings stored to pineconedb (vector database)

Semantic Search with OpenAI Embeddings and Pinecone

Demo link: https://semantic-search.mharrvic.com

You can use this https://public-semantic-search.mharrvic.com/ if you're having authentication issues.

Repo link: https://github.com/mharrvic/semantic-search-openai-pinecone

This is a demo app that shows how to use OpenAI Embeddings and Pinecone vector database to build a semantic search engine. Based on https://docs.pinecone.io/docs/semantic-text-search. You can run explore this freely using the free tier of Pinecone and OpenAI.

semantic-search-openai-pinecone.png

Tech Stack

Demo Video

semantic-search-openai-pinecone.mp4
semantic-search-openai-pinecone-input.mp4

Learn More

Input record

semantic-search-openai-pinecone-input.png

Query

semantic-search-openai-pinecone-query.png

I recommend to watch this youtube video from AssemblyAI to learn more about embeddings.

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