anshulsharmas/azure_kusto_vector
Samples to use Kusto(Azure Data Explorer) as a Vector database for AI embeddings
This project helps data professionals and AI developers perform semantic searches on large datasets. It takes text, transforms it into numerical embeddings using AI models like OpenAI, stores these embeddings in Azure Data Explorer (Kusto), and allows you to find similar text passages based on their meaning. This is ideal for anyone managing vast amounts of unstructured text data who needs to quickly find contextually relevant information.
No commits in the last 6 months.
Use this if you need to store and search through millions of text-based data points using semantic meaning rather than just keywords, leveraging Azure Data Explorer as your backend.
Not ideal if your primary need is simple keyword matching, or if you are not using Azure Data Explorer for your big data analytics.
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27
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Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Jun 25, 2024
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