Legal practitioners often need to find specific cases and clauses across thousands of dense documents. While traditional keyword-based search techniques are useful, they fail to fully capture semantic content of queries and case files. Vector search engines and large language models provide an intriguing alternative. In this talk, I will show you how to build a legal search application using the DSPy framework and the Milvus vector search engine.
Speaker: Mert Bozkir is a self-taught ML Engineer with a passion for Developer Relations.
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Recorded on May 2, 2024 at the AI, Machine Learning and Data Science Meetup.
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