The demo always works. Someone wires a vector index to a foundation model in a notebook, asks it three questions about the employee handbook, gets three crisp answers, and the room nods. Then the request becomes "ship it to 4,000 employees," and the notebook quietly dies. There's no endpoint, no auth, no version history, no way to see why a... Weiterlesen
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Deploying an Enterprise LLM Chatbot on Databricks With RAG, MLflow, Vector Search, and Model Serving
The demo always works. Someone wires a vector index to a foundation model in a notebook, asks it three questions about the employee handbook, gets three crisp answers, and the room nods. Then the request becomes "ship it to 4,000…
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