IvanCampos/openai-text-embedding
Uncover hidden connections and find the most semantically similar text to your search term with just a CSV file, OpenAI's text embedding model, and AWS Lambda.
This tool helps you quickly find text snippets that are most similar in meaning to a search term within a large dataset. You provide a CSV file containing your text data and a search term, and it returns the most semantically relevant text entries. This is designed for anyone needing to efficiently discover hidden connections and patterns within their text-based information.
No commits in the last 6 months.
Use this if you need to perform semantic searches across a CSV file to find the most contextually similar text entries to a given query.
Not ideal if you require real-time, low-latency search on constantly changing data or if your data is not in a CSV format.
Stars
8
Forks
2
Language
Python
License
MIT
Category
Last pushed
Jan 28, 2023
Commits (30d)
0
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