mirror of
https://github.com/infiniflow/ragflow.git
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26 lines
862 B
Bash
26 lines
862 B
Bash
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#!/usr/bin/env bash
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set -euo pipefail
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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REPO_ROOT="$(cd "${SCRIPT_DIR}/../.." && pwd)"
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: "${ZHIPU_AI_API_KEY:?ZHIPU_AI_API_KEY is required}"
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PYTHONPATH="${REPO_ROOT}/test" uv run -m benchmark retrieval \
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--base-url http://127.0.0.1:9380 \
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--allow-register \
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--login-email "qa@infiniflow.org" \
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--login-password "123" \
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--bootstrap-llm \
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--llm-factory ZHIPU-AI \
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--llm-api-key "$ZHIPU_AI_API_KEY" \
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--dataset-name "bench_dataset" \
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--dataset-payload '{"name":"bench_dataset","embedding_model":"BAAI/bge-small-en-v1.5@Builtin"}' \
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--document-path "${SCRIPT_DIR}/test_docs/Doc1.pdf" \
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--document-path "${SCRIPT_DIR}/test_docs/Doc2.pdf" \
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--document-path "${SCRIPT_DIR}/test_docs/Doc3.pdf" \
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--question "What does RAG mean?" \
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--iterations 10 \
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--concurrency 8 \
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--teardown
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