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SemanticSearch

A simple search application utilizes OpenAI's text embedding to generate top k results which are similar to the search term. The similarity is computed by the cosine similarity between the two embedding vectors, which is recommended by the OpenAI's documentation.

Feel free to play around

Steps:

  • Download the repo
  • In the configs/OpenaiConfig.js, change the Process.env.OPENAI_API_KEY to your own OpenAI API key. You can easily create a key here https://platform.openai.com/api-keys.
  • In the playground.js, fill the target list with the terms of your interest, and edit the search term as well.
  • In the command line, run node ./playground.js, and then, the top k similar result will be printed out.

Credit to https://github.com/sgheith/semantic_search_node.git.

Note: This repo uses OpenAI API @ 4.0.0, but the above does not. Then, there are some minor differences in API calls.