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A complete pipeline: acquire text from Reddit, turn it into embeddings, store and manage those vectors in LanceDB, then build summarization and semantic search on top. Useful as a shape for any ingest-embed-serve workflow.
This example is a runnable notebook in the vectordb-recipes repository rather than a page here.

Open in Colab

Run it end to end in the browser.

View on GitHub

Read the source.