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cappybara12/legal-rag
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Python
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Walk me through setting up Qdrant locally with Docker to run this legal RAG pipeline.
Explain how this project isolates only the matching sentence before sending it to an LLM.
Show me how to generate the synthetic legal documents and run the ingestion script.
Help me run the benchmark script and interpret the token cost savings it reports.
Full explanation on explaingit →
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